| First Year |
Hours |
K-State Core |
|
| Semester 1 |
|
|
|
| CYBR 103 - Computing Principles |
3 |
|
|
| CMST 135 - Web Fundamentals |
3 |
|
|
| CMST 183 - Computer Systems Studio I |
1 |
|
|
| MATH 100 - College Algebra |
3 |
KSC 030 |
|
| Arts & Humanities Requirement |
3 |
KSC 060 |
|
| Total Credits: 13 |
|
|
|
| |
|
|
|
| Semester 2 |
|
|
|
| CMST 185 - Computer Systems Studio II1 |
1 |
|
|
| CYBR 247 - Programming I |
3 |
|
|
| CYBR 250 - Hardware and Network Fundamentals |
3 |
|
|
| ENGL 100 - Expository Writing I |
3 |
KSC 010 |
|
| STAT 225 - Introduction to Statistics |
3 |
|
|
| Social & Behavioral Sciences Requirement |
3 |
KSC 050 |
|
| Total Credits: 16 |
|
|
|
| |
|
|
|
| Second Year |
|
|
|
| Semester 1 |
|
|
|
| CYBR 180 - Introduction to Database Systems |
3 |
|
|
| CMST 283 - Computer Systems Studio III |
1 |
|
|
| CYBR 335 - Programming II |
3 |
|
|
| COMM 106 - Public Speaking I |
3 |
KSC 020 |
|
| DIGME 137 - Fundamentals of Visual Communication |
3 |
|
|
| MATH 205 - General Calculus and Linear Algebra |
3 |
|
|
| Total Credits: 16 |
|
|
|
| |
|
|
|
| Semester 2 |
|
|
|
| CMST 252 - System and Software Fundamentals |
3 |
|
|
| CMST 315 - Introduction to System Administration |
3 |
|
|
| CMST 332 - Web Development Project |
3 |
|
|
| CMST 333 - Computer Systems/Digital Media Portfolio Defense |
1 |
|
|
| ENGL 200 - Expository Writing II |
3 |
KSC 010 |
|
| Natural & Physical Sciences Requirement - with Lab |
4 |
KSC 040 |
|
| Total Credits: 17 |
|
|
|
| |
|
|
|
| Third Year |
|
|
|
| Semester 1 |
|
|
|
| ETB 310 - Applied Data Analysis and Tools |
3 |
|
|
| MLAS 100 - Survey of Machine Learning and Autonomous Systems |
3 |
|
|
| MLAS 200 - Introduction to Automata and Cybernetic Systems Theory |
3 |
|
|
| STAT 705 - Regression and Analysis of Variance |
3 |
|
|
| Arts & Humanities Requirement |
3 |
KSC 060 |
|
| Total Credits: 15 |
|
|
|
| |
|
|
|
| Semester 2 |
|
|
|
| ENGL 302 - Technical Writing |
3 |
|
|
| MLAS 350 - Data Structures for Machine Learning |
3 |
|
|
| MLAS 390 - Unsupervised Learning in Autonomous Systems |
3 |
|
|
| Focused Elective |
3 |
|
|
| Total Credits: 12 |
|
|
|
| |
|
|
|
| Fourth Year |
|
|
|
| Semester 1 |
|
|
|
| COT 480 - Professional Conduct, Ethics, and Analysis |
3 |
|
|
| MLAS 400 - Supervised learning in Autonomous Systems |
3 |
|
|
| MLAS 500 - Reinforcement Learning in Autonomous Systems |
3 |
|
|
| STAT 730 - Multivariate Statistical Methods |
3 |
|
|
| Free Elective |
3 |
KSC 070 |
|
| Total Credits: 15 |
|
|
|
| |
|
|
|
| Semester 2 |
|
|
|
| MLAS 502 - Autonomous Systems Senior Capstone |
6 |
|
|
| Social & Behavioral Sciences Requrement |
3 |
KSC 050 |
|
| Natural & Physical Sciences Requirement - with Lab |
4 |
KSC 040 |
|
| Free Elective |
3 |
KSC 070 |
|
| Total Credits: 16 |
|
|
|
| |
|
|
|
| Total Program Hours: 120 |
|
|
|
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