Computer Science, Software Engineering (BS) (2024)

Table of Contents
Program Requirements Required General Education COMM 102 Public Speaking 3 credits ENG 271W Technical Communication 4 credits ECON 201 Principles of Macroeconomics 3 credits ECON 202 Principles of Microeconomics 3 credits Prerequisites to the Major MATH 121 Calculus I 4 credits MATH 122 Calculus II 4 credits MATH 247 Linear Algebra I 4 credits MATH 280 Discrete Mathematics for Computer Science I 4 credits MATH 380 Discrete Mathematics for Computer Science II 4 credits BIOL 105 General Biology I 4 credits BIOL 106 General Biology II 4 credits CHEM 201 General Chemistry I 5 credits CHEM 202 General Chemistry II 5 credits GEOL 121 Physical Geology 4 credits GEOL 122 Earth History 4 credits PHYS 221 General Physics I 4 credits PHYS 222 General Physics II 3 credits PHYS 223 General Physics III 3 credits PHYS 232 General Physics II Laboratory 1 credits PHYS 233 General Physics III Laboratory 1 credits Major Common Core CIS 121 Introduction to Programming 4 credits CIS 122 Data Structures 4 credits CIS 223 Algorithms 4 credits CIS 224 Computer Architecture 4 credits CS 301 CS Core: Operating Systems 2 credits CS 306 Network Architectures 2 credits SE 300 Software Engineering Academy Project 3 credits SE 301 (Core): Introduction to Software Engineering 2 credits SE 302 (Core): Introduction to Software Quality and Testing 2 credits SE 303 (Core): Introduction to Context-aware Software Practices 2 credits SE 304 Preparation for Self-directed Study in Software Engineering 2 credits SE 311W SE Professionalism 1 2 credits SE 312W SE Professionalism 1 2 credits SE 391 Software Engineering Project 1 4 credits SE 392 Software Engineering Project 2 4 credits SE 411W SE Professionalism 3 2 credits SE 412W SE Professionalism 4 2 credits SE 491 Software Engineering Capstone 1 4 credits SE 492 Software Engineering Capstone 2 4 credits SE 495 Software Engineering Seminar 1 credits Major Unrestricted Electives CS 303 CS Core: Programming Languages 2 credits CS 401 Topics in Operating Systems 2 credits CS 403 Topics in Programming Languages 2 credits CS 435 Topics in Intelligent Systems 2 credits CS 440 Topics in Information Management 2 credits CS 445 Topics in Information Assurance and Security 2 credits CS 450 Topics in Computational Science 2 credits CS 470 Topics in Human Computer Interaction 2 credits SE 401 Topics in Software Requirements 2 credits SE 402 Topics in Software Testing, Measurement, and Quality 2 credits SE 403 Topics in Software Architecture and Design 2 credits SE 404 Topics in Software Process, Life Cycle, and Sustainability 2 credits SE 480 Topics in Software and Systems Engineering 2 credits General Electives Degree Plan First Year CIS 121 Introduction to Programming 4 credits MATH 121 Calculus I 4 credits CIS 122 Data Structures 4 credits MATH 122 Calculus II 4 credits Second Year CIS 223 Algorithms 4 credits MATH 280 Discrete Mathematics for Computer Science I 4 credits CIS 224 Computer Architecture 4 credits MATH 247 Linear Algebra I 4 credits Third Year SE 300 Software Engineering Academy Project 3 credits SE 301 (Core): Introduction to Software Engineering 2 credits SE 303 (Core): Introduction to Context-aware Software Practices 2 credits SE 304 Preparation for Self-directed Study in Software Engineering 2 credits SE 495 Software Engineering Seminar 1 credits SE 302 (Core): Introduction to Software Quality and Testing 2 credits CS 306 Network Architectures 2 credits SE 311W SE Professionalism 1 2 credits SE 391 Software Engineering Project 1 4 credits SE 495 Software Engineering Seminar 1 credits Fourth Year CS 301 CS Core: Operating Systems 2 credits SE 312W SE Professionalism 1 2 credits MATH 380 Discrete Mathematics for Computer Science II 4 credits SE 392 Software Engineering Project 2 4 credits SE 495 Software Engineering Seminar 1 credits SE 411W SE Professionalism 3 2 credits SE 491 Software Engineering Capstone 1 4 credits SE 495 Software Engineering Seminar 1 credits Fifth Year SE 412W SE Professionalism 4 2 credits SE 492 Software Engineering Capstone 2 4 credits SE 495 Software Engineering Seminar 1 credits FAQs

Program Requirements

Required General Education

Students in this course approach writing as a subject of study by investigating how writing works across a variety of contexts.

Prerequisites: none

Goal Areas: GE-1A

Communications 2 - Choose 3 - 4 Credit(s).

COMM 102 Public Speaking 3 credits

A course in communication principles to develop skills in the analysis and presentation of speeches.

Prerequisites: none

Goal Areas: GE-1B

ENG 271W Technical Communication 4 credits

Introduction to learning the written and oral communication of technical information. Assignments include writing and presenting proposals, reports, and documentation. Emphasis on use of rhetorical analysis, computer applications, collaborative writing, and usability testing to complete technical communication tasks in the workplace.

Prerequisites:ENG 101

Goal Areas: GE-02, GE-13

Economics - Choose 3 Credit(s).

ECON 201 Principles of Macroeconomics 3 credits

Emphasis on forces influencing employment and inflation. Current problems of the economy are stressed along with tools government has to cope with them.

Prerequisites: none

Goal Areas: GE-05

ECON 202 Principles of Microeconomics 3 credits

Examines decision making by the individual firm, the determination of prices and wages, and current problems facing business firms.

Prerequisites: none

Goal Areas: GE-05

Prerequisites to the Major

MATH 121 Calculus I 4 credits

Limits, continuity, the derivative and applications, transcendental functions, L'Hopital's Rule, and development of the Riemann integral.

Prerequisites:Satisfy Placement Table in this section, MATH 115 or both MATH 112 and MATH 113 with "C" (2.0) or better.

Goal Areas: GE-04

MATH 122 Calculus II 4 credits

Techniques of integration, applications of integration, improper integrals, numerical integration, the calculus of parametric curves, and infinite series and sequences.

Prerequisites:MATH 121 with "C" (2.0) or better or consent

MATH 247 Linear Algebra I 4 credits

Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and characteristic value problems.

Prerequisites:MATH 122 with "C" (2.0) or better or consent

MATH 280 Discrete Mathematics for Computer Science I 4 credits

This course is an introduction to mathematical concepts needed in computer science, including sets, relations and functions, propositional logic, proof techniques, recurrence relations, graphs and trees, and discrete probability. This course is not intended for students pursuing a degree in mathematics.

Prerequisites:MATH 121 with "C" (2.0) or better or consent.

A calculus based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), statistical inference (both estimation and hypothesis testing), confidence intervals for distribution of parameters and their functions, sample size determinations, analysis of variance, regression, and correlation. This course meets the needs of the practitioner and the person who plans further study in statistics. Same as MATH 354. Fall, Spring, Summer

Prerequisites:MATH 122 with "C" (2.0) or better or consent

MATH 380 Discrete Mathematics for Computer Science II 4 credits

A continuation of the topics from MATH 280. The major focus of the course is understanding and analyzing algorithms, including proving that algorithms perform correctly. Topics include modular arithmetic, counting problems, sorting algorithms and constructions on graphs. This course is not intended for students pursuing a major degree in mathematics.

Prerequisites:MATH 247 and MATH 280 with a grade of "C" (2.0) or better

Science Electives - Choose 8 - 10 Credit(s). A minimum of 8 credits is required for Science Electives. Science Electives can be chosen from: BIOL 105, BIOL 106, CHEM 201, CHEM 202, GEOL 121, GEOL 122, PHYS 221, PHYS 222+232, PHYS 223+233, or any 300+ level course in BIOL, CHEM, GEOL, or PHYS. Choose two science courses from different disciplines to meet the University's general education requirements.

BIOL 105 General Biology I 4 credits

Study of biological processes at the suborganismal level including cell chemistry, metabolism, reproduction, genetics, and complex tissue physiology. Laboratory and discussion sessions stress problem solving and experimental design.

Prerequisites: none

Goal Areas: GE-03

BIOL 106 General Biology II 4 credits

Study of biological processes at the organismal level including a survey of life forms (viruses, bacteria, protists, fungi, plants, and animals), their evolution, and ecology. Laboratory and discussion sessions stress problem solving and experimental design.

Prerequisites: none

CHEM 201 General Chemistry I 5 credits

Introduction to the basic principles of chemistry including atomic and molecular structure, bonding, chemical reactions, stoichiometry, thermodynamics and states of matter. Laboratory will reinforce lecture concepts. Prereq: C or higher in MATH 112 or the equivalent; high school chemistry or C or higher in CHEM 104

Prerequisites:"C" (2.0) or higher in MATH 112 or the equivalent; high school chemistry or "C" (2.0) or higher in CHEM 104.

Goal Areas: GE-02, GE-03

CHEM 202 General Chemistry II 5 credits

Continuation of the basic principles of chemistry including properties of solutions, kinetics, acids and bases, equilibria, buffers, precipitation reactions, electron transfer reactions, electrochemistry, entropy and free energy. Laboratory will reinforce lecture concepts.

Prerequisites:"C" (2.0) or higher in CHEM 201

GEOL 121 Physical Geology 4 credits

Physical geology is the study of how the earth works. From mountain building to soil erosion, this course provides an introduction to all the main areas of geologic study. Lecture discussions and laboratory exercises are designed for students seeking a major or minor in one of the natural sciences.

Prerequisites: none

Goal Areas: GE-03, GE-10

GEOL 122 Earth History 4 credits

An examination of the development and evolution of life on earth. In addition to reviewing the range of life forms and global climates existing on earth during various times in its geologic past, we will also look at how global industrialization could lead to the earth's next period of mass extinction. Weekly laboratory assignments help illustrate principles discussed in lectures.

Prerequisites: none

Goal Areas: GE-03

PHYS 221 General Physics I 4 credits

Designed for science and engineering students. Calculus-based physics. Covers elementary mechanics including kinematics, statics, equilibrium and dynamics of particles, work and energy, rotational motion, gravitation, and oscillation. Lecture and Laboratory. MATH 121 must be completed with a C or better prior to taking this course or must be taken concurrently. High school physics or PHYS 101 is also strongly encouraged. Fall, Spring

Prerequisites: none

Goal Areas: GE-02, GE-03

PHYS 222 General Physics II 3 credits

Designed for science and engineering students. Calculus-based physics. Covers electrical charge and field; magnetic field and its sources; current and resistance; simple DC and AC circuits; and electromagnetic induction. Lecture only. (Associated laboratory course is PHYS 232.) MATH 121 must be completed with a C or better prior to taking this course. MATH 122 must be completed before taking this course or taken concurrently. Fall, Spring

Prerequisites:MATH 121 with a "C" or better; PHYS 221 with a "C" or better.

PHYS 223 General Physics III 3 credits

Designed for science and engineering students. Calculus-based physics. Covers fluids, thermodynamics, mechanical and sound waves, geometrical optics, physical optics, and modern physics. Lecture only. (Associated laboratory course is PHYS 233.) Pre: MATH 121 with a Cor better; and PHYS 221 with a C or better. MATH 122 must be completed before taking this course or taken concurrently. Spring

Prerequisites:MATH 121 with a "C" or better; and PHYS 221 with a "C" or better

PHYS 232 General Physics II Laboratory 1 credits

Designed for science and engineering students. Laboratory course accompanying PHYS 222. Experiments involving electric and magnetic fields, electric potential, electric and magnetic forces, and simple circuits. Laboratory only. Prereq: PHYS 221 with a C or better; and PHYS 222 or concurrent. Fall, Spring

Prerequisites:PHYS 221 with a "C" or better; and PHYS 222 or concurrent.

PHYS 233 General Physics III Laboratory 1 credits

Designed for science and engineering students. Laboratory course accompanying PHYS 223. Experiments involving fluids, thermodynamics, mechanical waves, geometrical optics, and physical optics. Laboratory only. Prereq: PHYS 221 with a C or better; and PHYS 223 or concurrent. Spring

Prerequisites:PHYS 221 with a "C" or better; and PHYS 223 or concurrent.

Major Common Core

* SE 495 Software Engineering Seminar: take 5 credits

CIS 121 Introduction to Programming 4 credits

This course provides conceptual and logical tools for students planning to major in a computing-based major. Programming in a high-level language such as C++, Python, or Java, and the development of skills in abstraction, problem-solving, and algorithmic thinking are emphasized.

Prerequisites:MATH 112 or MATH 113 or MATH 115 or MATH 121

CIS 122 Data Structures 4 credits

This course is a continuation of CIS 121. Students develop a basic knowledge of programming skills and object-oriented concepts, and use fundamental data structures such as lists, stacks, queues, and trees.

Prerequisites:CIS 121. Select One Course: MATH 112, MATH 113, MATH 115, MATH 121, or MATH 130

CIS 223 Algorithms 4 credits

This course builds on CS 122 (Data Structures) with coverage of advanced data structures and associated algorithms, including trees, graphs, hashing, searching, priority queues, and memory management. Formal proof techniques, the analysis of best, worst, and expected cases, and the development of efficient algorithms are emphasized. Use of effect-free programming, first-class functions, and higher-order operations such as map, reduce, and filter are explored.

Prerequisites:MATH 121 and CS 111 or CIS 122 or IT 214

CIS 224 Computer Architecture 4 credits

This course presents historical and current concepts and implementations of computer organization. Topics include instruction set design, digital storage, performance metrics, processor datapath and control, pipelining, memory hierarchy, busses and I/O interfacing, and parallel processors.

Prerequisites:CS 111 or CIS 122or IT 214

CS 301 CS Core: Operating Systems 2 credits

This course introduces the foundational concepts of operating systems including operating systems principles, concurrency, scheduling, dispatch, and memory management and prepares students for advanced topics in operating systems.

Prerequisites:CIS 223, CIS 224 or EE 234, and admission to major.

This course introduces the foundational concepts of Information Management, Database Systems, Data Modeling, Data Security, Secure Design, Defensive Programming, Security and Cryptography.

Prerequisites:CIS 223, CIS 224, and admission to major.

CS 306 Network Architectures 2 credits

An introduction to data communications and networks. The field encompasses local area networks, wide area networks, and wireless communication. Topics include digital signals, transmission techniques, error detection and correction, OSI model, TCP/IP model, network topologies, network protocols, and communications hardware.

Prerequisites:CIS 223 and CIS 224 or EE 234

SE 300 Software Engineering Academy Project 3 credits

Students participate in their first hands-on industry software development project. Every major element of the typical project lifecycle will be experienced, based on live project features wherever possible. This course prepares students for their first external work-based learning experience in industry or on an industry project. Emphasis is placed on diversity, equity, and inclusion for both technical and professional best practices. Requires admission to program.

Prerequisites:Admission to the program.

SE 301 (Core): Introduction to Software Engineering 2 credits

Students are introduced to the main elements of software engineering including requirements analysis, software design, software construction, project management, and best practices for project management and software systems engineering with an emphasis on diversity, equity, and inclusion. This course prepares students for their first work-based learning experiences in industry or on an industry project. Requires admission to the program.

Prerequisites:Admission to the program.

SE 302 (Core): Introduction to Software Quality and Testing 2 credits

Students are introduced to the main elements of software engineering that deal with a) the influence of external bad actors, and b) finding and fixing problems (bugs) in software. The course covers software testing, software quality management, and software security. It prepares students for their first work-based learning experiences in industry or on an industry project, with an emphasis on best practices in diversity, equity, and inclusion. Requires admission to the program.

Prerequisites:23174

SE 303 (Core): Introduction to Context-aware Software Practices 2 credits

Students are introduced to the aspects of software engineering practice that are heavily influenced by the technical, business, and social contexts in which software systems operate. These include software sustainment, software process and lifecycle concerns, best practices in software and systems engineering, and software safety. This course prepares students for their first work-based learning experiences in industry or on an industry project, with an emphasis on diversity, equity, inclusion, and belonging. Requires admission to the program.

Prerequisites:23175

SE 304 Preparation for Self-directed Study in Software Engineering 2 credits

Principles of self-directed learning are used to scope and prepare for future study of software engineering topics, especially as they are used in industry. Principles include goal setting, time management, planning, learning strategies, meta-cognition, self-regulation, and evaluation of personal learning. A diversity, equity, inclusion, and belonging lens is applied throughout. Requires admission to the program.

Prerequisites:Admission to the program.

SE 311W SE Professionalism 1 2 credits

Students learn and develop the elements of professionalism while working on software project teams in industry or on projects with industry clients. Topics include leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 300

SE 312W SE Professionalism 1 2 credits

Students further learn and develop the elements of professionalism while working on software project teams in industry or on projects with industry clients. Topics include leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 311W, SE 391

SE 391 Software Engineering Project 1 4 credits

Students learn and practice the essential elements of software engineering while working on a software project team in industry or on a project with an industry client. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 311W.

Prerequisites:SE 300, SE 301, SE 303

SE 392 Software Engineering Project 2 4 credits

Further learning and practice of the main elements of software engineering while working on software project teams in industry or on projects with industry clients. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 312W.

Prerequisites:SE 311W, SE 391

SE 411W SE Professionalism 3 2 credits

Students further learn and develop the elements of professionalism while interacting regularly with clients, software developers, other team members, managers, and administrators in an industry setting. Further development and implementation of skills related to leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 312W, SE 392

SE 412W SE Professionalism 4 2 credits

Students further learn and develop the elements of professionalism while interacting regularly with clients, software developers, other team members, managers, and administrators in an industry setting. Further development and implementation of skills related to leadership, metacognition, teamwork, written and oral communication, ethics, and professional and personal responsibility in an industry context with reflection on educational growth.

Prerequisites:SE 411W, SE 491

SE 491 Software Engineering Capstone 1 4 credits

Further learning and practice of the main elements of software engineering while working on software project teams in industry or on projects with industry clients. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 411W. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

Prerequisites:SE 312W, SE 392. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

SE 492 Software Engineering Capstone 2 4 credits

Students further learn and develop the essential elements of software engineering while working on software project teams in industry or on projects with industry clients. Further development and rounding out of experience with software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 412W. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

Prerequisites:SE 411W, SE 491

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Major Unrestricted Electives

Take 12 credits. Students may take SE 400-level courses more than once. Students may take up to three CS courses drawn from this list. Students may take CS 400-level courses more than once.

CS 303 CS Core: Programming Languages 2 credits

This course introduces the foundational concepts of programming languages, including the principles of language design, language constructs, and comparison of major languages. Topics include formal methods of examining syntax and semantics of languages and lexical analysis of language components and constructs, and propositional and predicate calculi.

Prerequisites:CIS 223, CIS 224, and admission to major.

CS 401 Topics in Operating Systems 2 credits

Study of theory and/or implementation topics related to operating systems such as security and protection, virtual machines, device management, file systems, real time and embedded systems, fault tolerance and system performance evaluation. Prerequisite: Admission to Major or Permission

Prerequisites: none

CS 403 Topics in Programming Languages 2 credits

Study of theory and/or implementation topics related to programming languages such as syntax analysis, semantic analysis, code generation, runtime systems, static analysis, advanced programming constructs, concurrency and parallelism, type systems, formal semantics, language pragmatics, and logic programming. Prerequisite: Admission to Major or Permission

Prerequisites: none

Study of theory and/or implementation topics related to networking and computation such as mobility and social networking and expansion of topics covered in CS 306. Prerequisite: Admission to Major or Permission

Prerequisites: none

Study of theory and/or implementation topics related to algorithms and computing such as advanced computational complexity, automata theory and computability, and advanced data structures algorithms and analysis. This includes the theoretical underpinnings of modern computer science, focusing on three main models of computation: DFA, PDA and Turing Machines. Students determine model capabilities and limitations: what is and is not computable by each of them.

Prerequisites:Admission to major or permission.

Study of theory and/or implementation topics related to parallel and distributed computing such as parallel algorithms, architecture, and performance, distributed systems, cloud computing, and formal models and semantics. These have been called techniques for High Performance Computing. Topics also include application areas and basic concepts of parallel computing, hardware design of modern HPC platforms and parallel programming models, methods of measuring and characterizing serial and parallel performance.

Prerequisites:Admission to major or permission.

Study of theory and/or implementation topics related to computer architecture and organization such as functional organization, multiprocessing and alternative architectures, and performance enhancements. This includes topics in computer architecture including a major emphasis on measuring and improving computer performance. Topics include advances in pipelining and analysis and optimization of storage systems and networks, multiprocessor challenges and trends.

Prerequisites:Admission to major or permission.

CS 435 Topics in Intelligent Systems 2 credits

Study of theory and/or implementation topics related to intelligent systems such as Basic Search Strategies, Basic Knowledge Representation and Reasoning, Basic Machine Learning, Advanced Search, Advanced Representation and Reasoning, Reasoning Under Uncertainty, Agents, Natural Language Processing, Advanced Machine Learning, Robotics, and Perception and Computer Vision. Prerequisite: Admission to Major or Permission

Prerequisites: none

CS 440 Topics in Information Management 2 credits

Study of theory and/or implementation topics related to information management such as indexing, relational databases, query languages, transaction processing, distributed databases, physical database design, data mining, information storage and retrieval and multimedia systems. Prerequisite: Admission to Major or Permission

Prerequisites: none

CS 445 Topics in Information Assurance and Security 2 credits

Study of theory and/or implementation topics related to information assurance and security, such as defensive programming, threats and attacks, network security, cryptography, web security, platform security, security policy and governance, digital forensics, and secure software engineering. Prerequisite: Admission to Major or Permission

Prerequisites: none

CS 450 Topics in Computational Science 2 credits

Study of theory and/or implementation topics related to computational science such as modeling and simulation, processing, interactive visualization, data, information and knowledge, and numerical analysis. Prerequisite: Admission to Major or Permission

Prerequisites: none

Study of theory and/or implementation topics related to graphics and visualization such as basic and advanced rendering, geometric modeling, computer animation and visualization. Topics include game programming with concentration on 3D graphics including modeling, rendering, and animation for computer games and graphic simulations. Programs are created using a current graphics and game development environment.

Prerequisites:Admission to major or permission.

CS 470 Topics in Human Computer Interaction 2 credits

Study of theory and/or implementation topics related to human computer interaction such as designing interaction, programming interactive systems, user-centered design and testing, new interactive technologies, collaboration & communication, statistical methods for HCI, human factors and security, design-oriented HCI, and mixed, augmented and virtual reality. This course builds on the use of modern compilers. Related topics covered include lexical scanning, parsing, type checking, code generation and translation, optimization, and compile-time and run-time support for modern programming languages.

Prerequisites:Admission to major or permission.

SE 401 Topics in Software Requirements 2 credits

Students learn the practices of software requirements work in depth through hands-on experience. Topics include elicitation and analysis techniques, best practices for gathering and documentation, and methods for verification and validation. Emphasis on addressing diversity, equity, and inclusion is applied throughout.

Prerequisites:SE 300, SE 301, SE 303

SE 402 Topics in Software Testing, Measurement, and Quality 2 credits

Students learn the practices of software testing, measurement, and quality in depth through hands-on work. This course covers the aspects of software engineering that deal with a) the influence of external bad actors, and b) finding and fixing problems (bugs) in software. Topics include types of software testing, methods and mathematics for quality control, and software process measurement and reporting. A diversity, equity, and inclusion lens is applied throughout.

Prerequisites:SE 300 SE 301 SE 302, SE 303

SE 403 Topics in Software Architecture and Design 2 credits

Students learn software architecture, design, and related topics in depth through hands-on practice. Best practices in design, organization, documentation, communication, and preparation for manufacturing and distribution of software are explored. A diversity, equity, and inclusion lens is applied throughout.

Prerequisites:SE 300. SE 301, SE 303

SE 404 Topics in Software Process, Life Cycle, and Sustainability 2 credits

Students learn best practices in software process, life cycle, and sustainability management through hands-on experience. Product and systems concerns are addressed in the context of real operational environments for software systems. Topics include software maintenance, project management, business ecosystems for software, and contracts. A diversity, equity, inclusion, and belonging lens is applied throughout.

Prerequisites:SE 300, SE 301, SE 303

SE 480 Topics in Software and Systems Engineering 2 credits

Students learn the practice of software and systems engineering in depth through hands-on work. Topics include APIs, robust construction practices, cloud-based programming environments, large scale systems management, multi-disciplinary team management, and software safety. Emphasis on addressing diversity, equity, and inclusion is applied throughout.

Prerequisites:SE 300, SE 301, SE 303

General Electives

Take 6 credits from Goal Area 5.
Take 6 credits from Goal Area 6.
For general education courses, at least two classes must be from the same department, with one being at a higher level than the first.

Degree Plan

First Year

Fall - 15 Credits

Students in this course approach writing as a subject of study by investigating how writing works across a variety of contexts.

Prerequisites: none

Goal Areas: GE-1A

CIS 121 Introduction to Programming 4 credits

This course provides conceptual and logical tools for students planning to major in a computing-based major. Programming in a high-level language such as C++, Python, or Java, and the development of skills in abstraction, problem-solving, and algorithmic thinking are emphasized.

Prerequisites:MATH 112 or MATH 113 or MATH 115 or MATH 121

MATH 121 Calculus I 4 credits

Limits, continuity, the derivative and applications, transcendental functions, L'Hopital's Rule, and development of the Riemann integral.

Prerequisites:Satisfy Placement Table in this section, MATH 115 or both MATH 112 and MATH 113 with "C" (2.0) or better.

Goal Areas: GE-04

Spring - 15 Credits

CIS 122 Data Structures 4 credits

This course is a continuation of CIS 121. Students develop a basic knowledge of programming skills and object-oriented concepts, and use fundamental data structures such as lists, stacks, queues, and trees.

Prerequisites:CIS 121. Select One Course: MATH 112, MATH 113, MATH 115, MATH 121, or MATH 130

MATH 122 Calculus II 4 credits

Techniques of integration, applications of integration, improper integrals, numerical integration, the calculus of parametric curves, and infinite series and sequences.

Prerequisites:MATH 121 with "C" (2.0) or better or consent

Second Year

Fall - 15 Credits

CIS 223 Algorithms 4 credits

This course builds on CS 122 (Data Structures) with coverage of advanced data structures and associated algorithms, including trees, graphs, hashing, searching, priority queues, and memory management. Formal proof techniques, the analysis of best, worst, and expected cases, and the development of efficient algorithms are emphasized. Use of effect-free programming, first-class functions, and higher-order operations such as map, reduce, and filter are explored.

Prerequisites:MATH 121 and CS 111 or CIS 122 or IT 214

MATH 280 Discrete Mathematics for Computer Science I 4 credits

This course is an introduction to mathematical concepts needed in computer science, including sets, relations and functions, propositional logic, proof techniques, recurrence relations, graphs and trees, and discrete probability. This course is not intended for students pursuing a degree in mathematics.

Prerequisites:MATH 121 with "C" (2.0) or better or consent.

Spring - 17 Credits

CIS 224 Computer Architecture 4 credits

This course presents historical and current concepts and implementations of computer organization. Topics include instruction set design, digital storage, performance metrics, processor datapath and control, pipelining, memory hierarchy, busses and I/O interfacing, and parallel processors.

Prerequisites:CS 111 or CIS 122or IT 214

MATH 247 Linear Algebra I 4 credits

Matrices, determinants, systems of linear equations, vector spaces, linear transformations, and characteristic value problems.

Prerequisites:MATH 122 with "C" (2.0) or better or consent

Third Year

Fall - 14 Credits

SE 300 Software Engineering Academy Project 3 credits

Students participate in their first hands-on industry software development project. Every major element of the typical project lifecycle will be experienced, based on live project features wherever possible. This course prepares students for their first external work-based learning experience in industry or on an industry project. Emphasis is placed on diversity, equity, and inclusion for both technical and professional best practices. Requires admission to program.

Prerequisites:Admission to the program.

SE 301 (Core): Introduction to Software Engineering 2 credits

Students are introduced to the main elements of software engineering including requirements analysis, software design, software construction, project management, and best practices for project management and software systems engineering with an emphasis on diversity, equity, and inclusion. This course prepares students for their first work-based learning experiences in industry or on an industry project. Requires admission to the program.

Prerequisites:Admission to the program.

SE 303 (Core): Introduction to Context-aware Software Practices 2 credits

Students are introduced to the aspects of software engineering practice that are heavily influenced by the technical, business, and social contexts in which software systems operate. These include software sustainment, software process and lifecycle concerns, best practices in software and systems engineering, and software safety. This course prepares students for their first work-based learning experiences in industry or on an industry project, with an emphasis on diversity, equity, inclusion, and belonging. Requires admission to the program.

Prerequisites:23175

SE 304 Preparation for Self-directed Study in Software Engineering 2 credits

Principles of self-directed learning are used to scope and prepare for future study of software engineering topics, especially as they are used in industry. Principles include goal setting, time management, planning, learning strategies, meta-cognition, self-regulation, and evaluation of personal learning. A diversity, equity, inclusion, and belonging lens is applied throughout. Requires admission to the program.

Prerequisites:Admission to the program.

A calculus based introduction to probability and statistics. Topics include probability, random variables, probability distributions (discrete and continuous), joint probability distributions (discrete and continuous), statistical inference (both estimation and hypothesis testing), confidence intervals for distribution of parameters and their functions, sample size determinations, analysis of variance, regression, and correlation. This course meets the needs of the practitioner and the person who plans further study in statistics. Same as MATH 354. Fall, Spring, Summer

Prerequisites:MATH 122 with "C" (2.0) or better or consent

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Spring - 13 Credits

SE 302 (Core): Introduction to Software Quality and Testing 2 credits

Students are introduced to the main elements of software engineering that deal with a) the influence of external bad actors, and b) finding and fixing problems (bugs) in software. The course covers software testing, software quality management, and software security. It prepares students for their first work-based learning experiences in industry or on an industry project, with an emphasis on best practices in diversity, equity, and inclusion. Requires admission to the program.

Prerequisites:23174

This course introduces the foundational concepts of Information Management, Database Systems, Data Modeling, Data Security, Secure Design, Defensive Programming, Security and Cryptography.

Prerequisites:CIS 223, CIS 224, and admission to major.

CS 306 Network Architectures 2 credits

An introduction to data communications and networks. The field encompasses local area networks, wide area networks, and wireless communication. Topics include digital signals, transmission techniques, error detection and correction, OSI model, TCP/IP model, network topologies, network protocols, and communications hardware.

Prerequisites:CIS 223 and CIS 224 or EE 234

SE 311W SE Professionalism 1 2 credits

Students learn and develop the elements of professionalism while working on software project teams in industry or on projects with industry clients. Topics include leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 300

SE 391 Software Engineering Project 1 4 credits

Students learn and practice the essential elements of software engineering while working on a software project team in industry or on a project with an industry client. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 311W.

Prerequisites:SE 300, SE 301, SE 303

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Fourth Year

Fall - 13 Credits

CS 301 CS Core: Operating Systems 2 credits

This course introduces the foundational concepts of operating systems including operating systems principles, concurrency, scheduling, dispatch, and memory management and prepares students for advanced topics in operating systems.

Prerequisites:CIS 223, CIS 224 or EE 234, and admission to major.

SE 312W SE Professionalism 1 2 credits

Students further learn and develop the elements of professionalism while working on software project teams in industry or on projects with industry clients. Topics include leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 311W, SE 391

MATH 380 Discrete Mathematics for Computer Science II 4 credits

A continuation of the topics from MATH 280. The major focus of the course is understanding and analyzing algorithms, including proving that algorithms perform correctly. Topics include modular arithmetic, counting problems, sorting algorithms and constructions on graphs. This course is not intended for students pursuing a major degree in mathematics.

Prerequisites:MATH 247 and MATH 280 with a grade of "C" (2.0) or better

SE 392 Software Engineering Project 2 4 credits

Further learning and practice of the main elements of software engineering while working on software project teams in industry or on projects with industry clients. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 312W.

Prerequisites:SE 311W, SE 391

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Spring - 13 Credits

SE 411W SE Professionalism 3 2 credits

Students further learn and develop the elements of professionalism while interacting regularly with clients, software developers, other team members, managers, and administrators in an industry setting. Further development and implementation of skills related to leadership, metacognition, teamwork, written and oral communication, ethics, diversity, equity, inclusion, belonging, and professional and personal responsibility.

Prerequisites:SE 312W, SE 392

SE 491 Software Engineering Capstone 1 4 credits

Further learning and practice of the main elements of software engineering while working on software project teams in industry or on projects with industry clients. Topics include software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 411W. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

Prerequisites:SE 312W, SE 392. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Fifth Year

Fall - 13 Credits

SE 412W SE Professionalism 4 2 credits

Students further learn and develop the elements of professionalism while interacting regularly with clients, software developers, other team members, managers, and administrators in an industry setting. Further development and implementation of skills related to leadership, metacognition, teamwork, written and oral communication, ethics, and professional and personal responsibility in an industry context with reflection on educational growth.

Prerequisites:SE 411W, SE 491

SE 492 Software Engineering Capstone 2 4 credits

Students further learn and develop the essential elements of software engineering while working on software project teams in industry or on projects with industry clients. Further development and rounding out of experience with software requirements, design, construction, testing and quality, sustainment, security, and systems engineering, and project management. A diversity, equity, inclusion, and belonging lens is applied to both technical and professional course content. Course must be taken concurrently with SE 412W. Senior standing in SE program and at least 12 credits earned in SE technical cores and electives.

Prerequisites:SE 411W, SE 491

SE 495 Software Engineering Seminar 1 credits

Students learn about software engineering practice through seminars with faculty, graduate students, undergraduate students admitted to the SE major, visiting researchers, and industry members. SE students are assisted in their development as learners and professional citizens through workshops. A diversity, equity, inclusion, and belonging lens is applied throughout. This course is repeated by upper-division Software Engineering students every semester. Requires admission to the program.

Prerequisites:Admission to the program.

Computer Science, Software Engineering (BS) (2024)

FAQs

Which is best BS software engineering or BS computer science? ›

Both degree programs prepare students for careers in computer programming and software engineering. A computer science degree, however, can equip students to pursue a broader range of careers and leadership roles in fields such as cybersecurity, cloud computing, computer architecture, and project management.

Can you become software engineer with BS computer science? ›

According to the US Bureau of Labor Statistics, the best fields for anyone interested in becoming a Software Engineer are computer science, computer engineering, and software engineering, but any other bachelor's degree programs related to computer systems or computer software should be enough to begin a software ...

Is a bachelor's in software engineering the same as computer science? ›

While related, Computer Science offers a broad “generalist” understanding of all interconnected aspects of modern computers, while Software Engineering (or Development) focuses on the design and implementation of large-scale, complex software systems - for example, a personalized recommendations algorithm.

Is a BS in software engineering worth IT? ›

Conclusion. A degree in software engineering can offer individuals valuable skills, strong job prospects, and attractive salary potential. However, it is essential to carefully evaluate the costs involved, consider alternatives, and reflect on personal factors and long-term career goals.

Which is harder, software engineering or computer science? ›

The difficulty of computer science versus software engineering is subjective and depends on individual strengths and interests. Computer science often involves more theoretical concepts and mathematical foundations, which can make it seem more challenging if you're naturally strong in those areas.

Is IT better to do software engineering or computer science? ›

If you enjoy building things and solving real-world problems, software engineering may be the right choice for you. If you are more interested in pushing the boundaries of technology and developing new algorithms and programming languages, computer science may be a better fit.

Who makes more, computer science or software engineering? ›

Software engineers start out at a higher average by over $10k, coming in at around $81k/yr. The average for a software engineer is actually less than a computer scientist though at $92k/yr and if you work super hard, you can get up to over $102k/yr as a software engineer.

How many years of college does IT take to be a software engineer? ›

Most software engineering jobs require at least a bachelor's degree, which takes four years of full-time study. Some employers prefer candidates with a master's, which requires an additional two years of study.

What are the highest paying jobs in computer science? ›

Here's a look at the highest paying computer science jobs today:
  • Front-end developer. ...
  • Java developer. ...
  • Software engineer. ...
  • Network security engineer. ...
  • Mobile developer. ...
  • Data scientist. ...
  • DevOps engineer. ...
  • Software architect.
Apr 18, 2024

Can I be a software engineer without a computer science degree? ›

You don't need a computer science degree to become a software engineer or software developer, but completing a short course or qualification can boost your chances of getting a job. There are two ways you could go about this. Your first option is an intensive software engineering bootcamp.

Does software engineering require math? ›

Software engineers need to have a solid understanding of math to tackle various challenges encountered throughout the development process. By understanding mathematical principles, engineers can optimize code efficiency, improve performance, and prevent issues such as memory leaks or algorithmic inefficiencies.

Do computer science majors make more than engineers? ›

Which pays more, computer science or computer engineering? It depends on your title, but both career tracks have high earning potential. According to the BLS, the median pay for computer and information research scientists as of May 2022 was $136,620. Computer hardware engineers earned $132,360.

What is the difference between BS CS and BS software engineering? ›

Computer science is wider-reaching, while software engineering focuses more on the development and deployment of computer programs. Additionally, computer science may take a more abstract approach to computing, while software engineering emphasizes concrete applications of coding.

Is a BS or BA better for engineering? ›

BA programs focus less on technical scientific training. Bachelor of Science (BS) degrees offer intensive academic preparation centered around scientific, mathematical and technical fields like computer science, engineering and healthcare.

What is meant by BS software engineering? ›

A Bachelor of Software Engineering Honours BSEHons is an undergraduate academic degree (Bachelor's Degree) awarded for completing a program of study in the field of software development for computers in information technology.

Which pays more, computer science or computer engineering? ›

Which pays more, computer science or computer engineering? It depends on your title, but both career tracks have high earning potential. According to the BLS, the median pay for computer and information research scientists as of May 2022 was $136,620. Computer hardware engineers earned $132,360.

Which one is better, BSCS or BSSE? ›

BSCS is better option. You have more than one option in BSCS to pursue your career like web development, software developer or network administrator etc. But in SE you can only pursue your career as a developer. Overall BSCS offers a veriety of jobs.

Which bachelor's degree is best for a software engineer? ›

Computer science is the standard if your want to write/create software for a living when you graduate. If your university has a software engineering degree that will work as well. Information Technology is a separate field. If your degree covers everything in a CS degree there shouldn't be any gaps in your knowledge.

What is the difference between BS computer science and BS computer engineering? ›

In the simplest terms: computer engineers work with firmware and hardware, while computer scientists innovate complex software systems, machine learning based algorithms, and more.

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