Software Engineering Program Courses

An introduction to the study of computing: fundamental concepts and skills; opportunities at Michigan Tech; career opportunities; social and ethical issues.

• Credits: 1.0
• Lec-Rec-Lab: (0-1-0)
• Semesters Offered: Fall
• Restrictions: Must be enrolled in one of the following Major(s): Computer Engineering, Software Engineering, Computer Science, Computer Systems Science, General Computing, Electrical Engineering; Must be enrolled in one of the following Class(es): Freshman

An alternative starting point of the computer science programs for students with some programming experience, combining material from CS1121 and CS1122, offered at an accelerated pace. Homework programming assignments are given.

• Credits: 5.0
• Lec-Rec-Lab: (0-4-2)
• Semesters Offered: Fall
• Restrictions: Permission of department required
• Pre-Requisite(s): MA 1031(C) or MA 1032(C) or MA 1120(C) or MA 1160(C) or MA 1161(C) or MA 1121(C)

Starting point of the computer science programs. A high-level, object-oriented programming language is introduced as a problem-solving tool. Topics include design, coding, documentation, debugging, and testing of programs. Programming assignments are given in both a closed lab setting and as homework.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 1031(C) or MA 1032(C) or MA 1120(C)

Continuation of CS 1121. Topics include data abstraction, class hierarchies and polymorphism, list, stack, queue and tree data structures, complexity-based algorithm and data structure choices, and recursion. Homework programming assignments are given.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): CS 1121

Programming in assembly language and C for students with prior experience in Java. Topics include binary number encodings, instruction set architecture, assembly language programming, and instruction encodings. C programming topics include program structure, preprocessor, arrays, structures, pointers, input/output, dynamic memory management, and linked data structures.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): CS 1122 or CS 1131

Presents fundamental concepts in discrete structures that are used in computer science. Topics include sets, trees, graphs, functions, relations, recurrences, proof techniques, logic, combinatorics, and probability.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 1121 or CS 1131) and (MA 1135 or MA 1160 or MA 1161 or MA 1121 or MA 2160)

Topics include set theory, mathematical induction, integers, functions and relations, counting methods, recurrence relations, generating functions, permutations, combinations, principle of inclusion and exclusion, graphs (including planar graphs). Further possible topics are graph coloring, trees and cut-sets, combinatorial designs, Boolean algebra.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): MA 2320 or MA 2321 or MA 2330

Presents fundamental concepts in data structures. Topics include abstract data types (priority queues, dictionaries and graphs) and their implementations, algorithm analysis, sorting, text processing, and object-oriented design. A significant programming project is assigned.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 1122 or CS 1131

An examination of social and ethical issues associated with computing. Topics include: ethical theories and decision making, intellectual property, freedom of expression, privacy, security, and professional responsibility.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Restrictions: Must be enrolled in one of the following Class(es): Junior, Senior
• Pre-Requisite(s): CS 3141

This course focuses on software development as a team. It covers software design models emphasizing process activities including Agile methodologies and Secure Software Development Life Cycle practices. Key topics include version control, automated testing, and documentation. Students will develop skills in communication, teamwork.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

Introduction to the theory of formal languages and computation. Topics include regular languages and finite automata, context-free languages and push-down automata, Turing-acceptable languages, Turing machines and the halting problem. Proof techniques and applications, such as parsing, are also treated.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 2311 or MA 3210

Concepts and techniques in concurrent computing. Topics include: processes and threads, mutual exclusion, semaphores, monitors and condition synchronization, deadlock, safety and liveness, message passing, and concurrent architectures.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 2311 and CS 2321 and CS 3411

Development of robust programs that provide efficient services to system software developers. Topics include: file I/O, process creation and management, linking and libraries, interprocess communication, performance measurement, and socket programming.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 3421 or EE 3172

Introduction to the logical structure of computers, including the fundamentals of logic design, information storage and manipulation, control, and input/output. Topics include a review of current hardware technology, combinational and sequential logic, arithmetic, datapaths, hard-wired control, interrupts, caches, virtual memory, and an introduction to pipelining.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 1141 and CS 1040) or CS 1142

This course provides an introduction to database systems including database design, query, and programming. Topics include goals of database management; data definition; data models; data normalization; data retrieval and manipulation with relational algebra and SQL; data security and integrity; database and Web programming; and languages for representing semi-structured data.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

This course concentrates on ensuring quality through the software process including definition, analysis, and measurement of quality attributes. Topics are software testing, static analysis, code review, process improvement and security engineering emphasizing derivation of test cases from requirements specifications and writing test plans.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring
• Pre-Requisite(s): CS 3141

Fundamental topics in algorithm design, analysis, and implementation. Analysis fundamentals include asymptotic notation, analysis of control structures, solving recurrences, and amortized analysis. Design and implementation topics include sorting, searching, and graph algorithms. Design paradigms include greedy algorithms, divide-and-conquer algorithms, and dynamic programming.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore
• Pre-Requisite(s): (CS 2311 or MA 3210) and CS 2321

This course focuses on modeling of software systems, automated analysis, verification, and design. Topics include declarative and imperative modeling languages, software tools for automated analysis and verification of models, specification languages for implementation, and formal specification languages for inductive verification of systems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): CS 3311 and CS 3141(C)

Focuses on the software development process and related management issues. Topics include software process models, the Capability Maturity Model, process tools, use of standards, software maintenance, configuration management, project planning and tracking, team management, and measurement and estimation.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): CS 3141

Principles of user interfaces (UI) design and implementation. Topics include: UI theory, design principles, evaluation, and tools. Requires completion of a group project implementing and evaluating a UI.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): CS 3141

Students will apply foundational skills to create navigable and accessible user interfaces. HTML and CSS will be explored. Students will learn about structure versus style, semantic markup, accessibility standards, assistive technologies, testing tools, approaches to front end development, design patterns, and adaptive layout techniques.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): CS 2321

A study of written and oral communication in technical and scientific environments; emphasizes audience, writing processes, genres of scientific and technical discourse, visual communication, collaboration, professional responsibility, clear and correct expression. Students write and revise several documents and give oral report(s).

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman

A capstone project course. Using software engineering principles and techniques, students work as part of a team responsible for developing a quality software project.

• Credits: 3.0
• Lec-Rec-Lab: (0-1-4)
• Semesters Offered: Fall, Spring
• Restrictions: Permission of instructor required
• Pre-Requisite(s): CS 3712 and CS 4760

A continuation of the capstone project experience, intended for Software Engineering majors.

• Credits: 3.0
• Lec-Rec-Lab: (0-1-4)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): CS 4791

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Third-year students will practice designing approaches to solve problems and develop procedures to achieve specified project objectives.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Junior, Senior

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Third-year students practice designing approaches to solve problems and develop procedures to achieve specified project objectives.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Junior, Senior

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems, taking constraints into account and applying relevant standards. Fourth-year students gain experience in defining project objectives, planning strategies to achieve these objectives, and leading technical teams to accomplish project goals. Must be project ready as defined by major.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Permission of department required; Must be enrolled in one of the following Major(s): Biomedical Engineering, Engineering, Civil Engineering, Geospatial Engineering, Chemical Engineering, Computer Engineering, Electrical Engineering, Environmental Engineering, Geological Engineering, Mechanical Engineering, Materials Science and Engrg, Robotics Engineering, Software Engineering, Construction Management, Computer Network & System Admn, Electrical Eng Tech, Mechanical Engineering Tech, Surveying Engineering, Information Technology; Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): (BE 3350 and BE 3700 and BE 3800 and BE 4900 and ENT 3950 and ENT 3960) or (CEE 3620 or CEE 3810) or CM 4855(C) or (CS 3712 or CS 4711 or CS 4760) or (ENT 3960 and EE 3131) or (EE 3280 and EE 3261(C)) and EE 3910 and (EE 3174(C) or EE 3171(C) or EE 3173(C)) or (GE 3890 and GE 3880) or (ENT 3950 and ENT 3960) and (MA 3710(C) or MA 2710(C) or MA 2720 or MA 3715) and (MEEM 3750 or ME 3750) and (MEEM 3201 or ME 3201) and (MEEM 3901 or ME 3901) and (MEEM 3911 or ME 3911) and EE 3010(C) and (MEEM 3400 or ME 3400) and (MEEM 3600 or ME 3601(C)) or MSE 3190 or (CMG 3250 and CMG 4120(C) and CMG 4210 and CMG 3200) or (EET 3281 and EET 4253(C)) or SAT 3812(C) or SU 4100(C) or ENG 3505(C) or (ENT 3950 and ENT 3960) or (MET 4200 and MET 3500(C) and MET 3451(C)) or MET 4210

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems, taking constraints into account and applying relevant standards. Fourth-year students gain experience defining project objectives, planning strategies to achieve these objectives, and leading technical teams to accomplish project goals.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): ENT 4950 and (BE 4900 or CEE 3620 or CEE 3810 or CM 4855 or CS 3712 or CS 4711 or CS 4760 or (EE 3174 or EE 3171 or EE 3173) or GE 3890 or GE 3880 or MSE 4141(C) or CMG 4210 or (EET 4253 and EET 3281) or (MET 4460 and MET 4210) or (SAT 4541 and SAT 3812) or SU 4100 or ENG 3830(C) or (ENG 3505 and ENG 4505) or (MEEM 3750 or ME 3750) and (MEEM 3201 or ME 3201) or (EE 3280 and EE 3261))

An introduction to single-variable calculus, which includes a computer laboratory. Topics include trigonometric, exponential, and logarithmic functions, differentiation and its uses, and basic integration. Integrates symbolic tools, graphical concepts, data and numerical calculations.

• Credits: 4.0
• Lec-Rec-Lab: (0-3-1)
• Semesters Offered: Fall
• Pre-Requisite(s): ALEKS Math Placement >= 86 or CEEB Calculus AB >= 3 or CEEB Calculus BC >= 3 or CEEB Calculus AB Subscore >= 3 or ACT Mathematics >= 29 or SAT MATH SECTION SCORE-M16 >= 680

An introduction to single-variable calculus, which includes a computer laboratory. Topics include trigonometric, exponential, logarithmic functions, differentiation and its uses, and basic integration. Integrates symbolic tools, data and numerics, and graphical concepts and is similar to MA1160, going at a different pace.

• Credits: 5.0
• Lec-Rec-Lab: (0-4-1)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 1032 or MA 1031 or MA 1120 or ALEKS Math Placement >= 76 or CEEB Calculus AB >= 2 or CEEB Calculus BC >= 2 or CEEB Calculus AB Subscore >= 2 or ACT Mathematics >= 26 or SAT MATH SECTION SCORE-M16 >= 610

An introduction to linear algebra and how it can be used, including basic mathematical proofs. Topics include systems of equations, vectors, matrices, orthogonality, subspaces, and the eigenvalue problem.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): MA 1160 or MA 1161 or MA 1135 or MA 1121

Introduction to the design and analysis of statistical studies. Topics include methods of data collection, descriptive and graphical methods, probability, statistical inference on means, regression and correlation, and ANOVA.

• Credits: 4.0
• Lec-Rec-Lab: (0-4-0)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Major(s): Mathematics
• Pre-Requisite(s): MA 1020 or MA 1030 or MA 1120 or MA 1032 or MA 1031 or ALEKS Math Placement >= 61 or CEEB Calculus BC >= 2 or CEEB Calculus AB Subscore >= 2 or ACT Mathematics >= 22 or SAT MATH SECTION SCORE-M16 >= 540

Introduction to the design, conduct, and analysis of statistical studies aimed at solving engineering problems. Topics include methods of data collection, descriptive and graphical methods, probability and probability models, statistical inference, control charts, linear regression, design of experiments.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 2160 or MA 3160(C)

Introduction to probabilistic methods. Topics include probability laws, counting rules, discrete and continuous random variables, expectation, joint distributions, and limit theorems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, Summer
• Pre-Requisite(s): MA 2160

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Second-year students are responsible for achieving some prescribed objectives, as defined by their Enterprise team.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Second- year students are responsible for achieving some prescribed objectives, as defined by their Enterprise team.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Class(es): Freshman

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Third-year students will practice designing approaches to solve problems and develop procedures to achieve specified project objectives.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Junior, Senior

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems. Third-year students practice designing approaches to solve problems and develop procedures to achieve specified project objectives.

• Credits: 1.0
• Lec-Rec-Lab: (0-0-3)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Junior, Senior

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems, taking constraints into account and applying relevant standards. Fourth-year students gain experience in defining project objectives, planning strategies to achieve these objectives, and leading technical teams to accomplish project goals. Must be project ready as defined by major.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Permission of department required; Must be enrolled in one of the following Major(s): Biomedical Engineering, Engineering, Civil Engineering, Geospatial Engineering, Chemical Engineering, Computer Engineering, Electrical Engineering, Environmental Engineering, Geological Engineering, Mechanical Engineering, Materials Science and Engrg, Robotics Engineering, Software Engineering, Construction Management, Computer Network & System Admn, Electrical Eng Tech, Mechanical Engineering Tech, Surveying Engineering, Information Technology; Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): (BE 3350 and BE 3700 and BE 3800 and BE 4900 and ENT 3950 and ENT 3960) or (CEE 3620 or CEE 3810) or CM 4855(C) or (CS 3712 or CS 4711 or CS 4760) or (ENT 3960 and EE 3131) or (EE 3280 and EE 3261(C)) and EE 3910 and (EE 3174(C) or EE 3171(C) or EE 3173(C)) or (GE 3890 and GE 3880) or (ENT 3950 and ENT 3960) and (MA 3710(C) or MA 2710(C) or MA 2720 or MA 3715) and (MEEM 3750 or ME 3750) and (MEEM 3201 or ME 3201) and (MEEM 3901 or ME 3901) and (MEEM 3911 or ME 3911) and EE 3010(C) and (MEEM 3400 or ME 3400) and (MEEM 3600 or ME 3601(C)) or MSE 3190 or (CMG 3250 and CMG 4120(C) and CMG 4210 and CMG 3200) or (EET 3281 and EET 4253(C)) or SAT 3812(C) or SU 4100(C) or ENG 3505(C) or (ENT 3950 and ENT 3960) or (MET 4200 and MET 3500(C) and MET 3451(C)) or MET 4210

Interdisciplinary teams work as part of an enterprise to address real-world design projects or problems, taking constraints into account and applying relevant standards. Fourth-year students gain experience defining project objectives, planning strategies to achieve these objectives, and leading technical teams to accomplish project goals.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): ENT 4950 and (BE 4900 or CEE 3620 or CEE 3810 or CM 4855 or CS 3712 or CS 4711 or CS 4760 or (EE 3174 or EE 3171 or EE 3173) or GE 3890 or GE 3880 or MSE 4141(C) or CMG 4210 or (EET 4253 and EET 3281) or (MET 4460 and MET 4210) or (SAT 4541 and SAT 3812) or SU 4100 or ENG 3830(C) or (ENG 3505 and ENG 4505) or (MEEM 3750 or ME 3750) and (MEEM 3201 or ME 3201) or (EE 3280 and EE 3261))

Interdisciplinary teams work as part of an enterprise to address real-world projects or problems of significance to industry, government and communities. Fourth-year students gain experience in defining project objectives and planning strategies to achieve these objectives, and leading teams to accomplish project goals. This course is for students who are not participating in Enterprise to fulfill their capstone requirements.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following College(s): College of Engineering; Must be enrolled in one of the following Class(es): Senior

Interdisciplinary teams work as part of an enterprise to address real-world projects or problems of significance to industry, government and communities. Fourth-year students gain experience in defining project objectives and planning strategies to achieve these objectives, and leading teams to accomplish project goals. This course is for students who are not participating in Enterprise to fulfill their capstone requirements.

• Credits: 2.0
• Lec-Rec-Lab: (0-0-6)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following College(s): College of Engineering; Must be enrolled in one of the following Class(es): Senior

Credits may count as free or technical electives based on academic department. Requires advisor approval, good conduct and academic standing, registration with Career Services, and an official offer letter from the employer.

• Credits: variable to 2.0
• Semesters Offered: Fall, Spring, Summer
• Restrictions: Permission of department required; May not be enrolled in one of the following Level(s): Graduate

This course will cover basic electrical concepts, resistive circuits, nodal and loop analysis, superposition, Thevenin and Norton equivalents, maximum power transfer, capacitors, inductors, AC analysis, and 1st and 2nd order transient analysis.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): MA 3520(C) or MA 3521(C) or MA 3530(C) or MA 3560(C)

Introduces analysis, design, and application of digital logic. Includes Boolean algebra, binary numbers, logic gates, combinational and sequential logic, storage elements and hardware-description-language based synthesis.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): CS 1121 or CS 1131 or CS 1111

Designed for nonmajors. Covers the principles of electrical and electronic measurements, including dc, ac, semiconductor devices, amplifiers, and filtering.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-2)
• Semesters Offered: Fall, Spring, Summer
• Restrictions: May not be enrolled in one of the following Major(s): Electrical Engineering, Computer Engineering
• Pre-Requisite(s): MA 1121 or MA 1160 or MA 1161

Covers the fundamentals of electronic devices and circuits; operational amplifiers, bipolar junction transistors, diodes, and MOSFETs.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): EE 2112 or EE 3010

Introduces the mathematical analysis of signals, systems, and control. Topics include differential equations, Fourier series, Fourier transforms, LaPlace transforms, frequency response, Bode plots, state models, and an introduction to control systems.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): (EE 3010 or EE 2112) and (MA 2320 or MA 2321 or MA 2330) and (MA 3520 or MA 3521 or MA 3530 or MA 3560)

Practical implementation of digital signal processing concepts as developed in EE4252. Emphasis on applications of DSP to communications, filter design, speech processing, and radar. Laboratory provides practical experience in the design and implementation of DSP solutions.

• Credits: 3.0
• Lec-Rec-Lab: (2-0-2)
• Semesters Offered: Spring
• Pre-Requisite(s): EE 4252

Design of VLSI circuits using CAD tools. Analysis of physical factors affecting performance.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-2)
• Semesters Offered: Fall
• Pre-Requisite(s): EE 3131 and EE 2174

Covers the use of low-power microcontrollers and hardware- dependent C for embedded sensing and control systems. Emphasizes direct interfacing with analog and digital sensors and actuators of several different modalities, to implement end-to-end embedded systems for applications including robotics and wireless sensor nets.

• Credits: 4.0
• Lec-Rec-Lab: (3-0-1)
• Semesters Offered: Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Senior
• Pre-Requisite(s): (CS 1111 or CS 1142) and (EE 3171 or EE 3173)

The first semester of a program of study in which a group of students work on an engineering design project in consultation with a faculty member. (Senior project ready as defined by major substitutes for prerequisites)

• Credits: 2.0
• Lec-Rec-Lab: (1-0-3)
• Semesters Offered: Fall
• Restrictions: May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior
• Pre-Requisite(s): (EE 3131 or (EE 3280 and EE 3261(C))) and (EE 3901 and (EE 3171(C) or EE 3173(C) or EE 3174))

The second semester of a program of study in which a group of students work on an engineering design project in consultation with a faculty member. (Senior project ready as defined by major substitutes for prerequisites)

• Credits: 2.0
• Lec-Rec-Lab: (0-1-3)
• Semesters Offered: Spring
• Pre-Requisite(s): EE 4901

Selected additional topics of interest in Electrical Engineering Technology based on student and faculty demand and interest. May be a tutorial, seminar, workshop, project, or class study.

• Credits: variable to 3.0; Repeatable to a Max of 6
• Semesters Offered: On Demand
• Restrictions: Permission of instructor required; Must be enrolled in one of the following Major(s): Mechatronics, Electrical Eng Tech, Mechatronics; May not be enrolled in one of the following Class(es): Freshman, Sophomore, Junior

Stresses development of quantitative decision and analysis skills to solve problems with cases, exercises, simulations, and mathematical modeling. Topics include regression analysis, decision analysis, stochastic environments, data sources and errors, utility theory risk preference, linear programming, and simulation analysis.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Fall, Spring
• Pre-Requisite(s): BUS 2100 or MA 2710 or MA 2720 or MA 3710 or MA 3720

Studies user-centered design in development of effective interface solutions for business needs. Content may include input/output devices, user modeling, help and documentation, social issues, and usability evaluation. Emphasis on how interface design addresses human capabilities and capacities.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: On Demand
• Pre-Requisite(s): MIS 2000 or MIS 2100 or CS 1122 or CS 1131

Focuses on generation and interpretation of business analytics relative to organizational decision making. Includes core skills necessary for constructing data retrieval queries in a relational database environment and processing data using appropriate programming languages. Introduces concepts related to data pipelining.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Spring
• Pre-Requisite(s): (MIS 2100 or CS 1122 or CS 1131) and (MIS 3100 or CS 3425)

This course is designed to support students who desire to design an IT software solution to commercialize. The course provides support for student entrepreneurs and innovators during various stages of the systems development life cycle, such as planning, requirements gathering, design and implementation.

• Credits: 1.0; Repeatable to a Max of 6
• Lec-Rec-Lab: (1-0-0)
• Semesters Offered: On Demand
• Restrictions: Permission of instructor required
• Pre-Requisite(s): MIS 2000(C) or MIS 2100(C) or CS 1111(C) or CS 1122(C) or CS 1131(C) or SAT 1200(C)

Introduction to the basic principles, concepts, and theoretical framework for the design and operation of accounting information systems, emphasizing its use to enhance decision making. Topics include system design, internal controls, the use of databases, and electronic commerce.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Pre-Requisite(s): ACC 2100 or ACC 5050

This class will focus on when, why, and how to apply the various human factors methods for creating more effective human-technological systems.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall
• Restrictions: May not be enrolled in one of the following Class(es): Freshman
• Pre-Requisite(s): (PSY 2000 or HF 2000) and UN 1015

Introduction to this cognitive-systems engineering method that unpacks complex work through systematic interviews with experts. Students will collect data to address engineering, business, or socio-technical challenges.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: Fall, in even years
• Restrictions: May not be enrolled in one of the following Class(es): Freshman
• Pre-Requisite(s): (PSY 2000 or HF 2000) and UN 1015

An examination of a specific area or approach within the field of Psychology.

• Credits: variable to 4.0; May be repeated
• Semesters Offered: On Demand
• Pre-Requisite(s): PSY 2000 and UN 1015

Introduction to everyday reasoning and formal logic. Important goal is to develop skills of argument identification, analysis, and evaluation. Students learn how to symbolize ordinary language statements and arguments and to determine their validity or invalidity using proof and truth-table methods.

• Credits: 3.0
• Lec-Rec-Lab: (0-3-0)
• Semesters Offered: On Demand

The evolution of information security into cybersecurity and its relationship to nations, organizations, society, and individuals. Exposure to multiple cybersecurity technologies, processes, and procedures; analyzing threats, vulnerabilities and risks present; and developing appropriate strategies to mitigate potential cybersecurity issues. Applied lab to develop cyber security offensive attributes and learn how to prevent and/or mitigate threats.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Fall, Spring, Summer
• Pre-Requisite(s): SAT 2711 or CS 2321 or MIS 3200

An advanced course in cyber security that covers topics such as adversarial thinking, exploiting game theory, human-centered cyber security, economic decision making in cyber security, and the National Initiative for Cybersecurity Education (NICE) framework topics of Analyze, Collect and Operate, Investigate, Operate and Maintain, Oversee and Govern, Protect and Defend, and Securely Provision.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring, Summer
• Pre-Requisite(s): SAT 3812

To provide knowledge and demonstrated methods to help prevent security breaches and develop safeguards to protect sensitive information and confidential data. Students learn offensive and defensive security concepts, audit best-practices.

• Credits: 3.0
• Lec-Rec-Lab: (3-0-0)
• Semesters Offered: Spring, in even years
• Pre-Requisite(s): SAT 3812

Scripting in PERL, Python, BASH, and PowerShell to accomplish and automate common system administration tasks such as working with files, network and web communication, database interaction, and security.

• Credits: 3.0
• Lec-Rec-Lab: (0-2-2)
• Semesters Offered: Spring, Summer
• Restrictions: Must be enrolled in one of the following Class(es): Sophomore, Junior, Senior
• Pre-Requisite(s): CS 1111 or CS 1121 or CS 1131 or CS 1142 or MIS 2100