| First Year |
Hours |
K-State Core |
| Semester 1 |
|
|
| MATH 100 - College Algebra |
3 |
KSC 030 |
| ENGL 100 - Expository Writing I |
3 |
KSC 010 |
| CYBR 103 - Computing Principles |
3 |
|
| MLAS 100 - Survey of Machine Learning and Autonomous Systems |
3 |
|
| CYBR 137 - Principles of Interactive Digital Storytelling |
3 |
|
| Total Credits: 15 |
|
|
| |
|
|
| Semester 2 |
|
|
| MATH 150 - Plane Trigonometry |
3 |
|
| COMM 106 - Public Speaking I |
3 |
KSC 020 |
| CYBR 163 - Fundamentals of Design Thinking |
3 |
|
| CYBR 180 - Introduction to Database Systems |
3 |
|
| CYBR 247 - Programming I |
3 |
|
| Total Credits: 15 |
|
|
| |
|
|
| Second Year |
|
|
| Semester I |
|
|
| MATH 220 - Analytic Geometry and Calculus I |
4 |
|
| PHYS 113 - General Physics I |
4 |
|
| CYBR 335 - Programming II |
3 |
|
| MLAS 200 - Introduction to Automata and Cybernetic Systems Theory |
3 |
|
| Total Credits: 14 |
|
|
| |
|
|
| Semester 2 |
|
|
| ENGL 200 - Expository Writing II |
3 |
KSC 010 |
| CYBR 250 - Hardware and Network Fundamentals |
3 |
|
| CYBR 280 - Applied Mathematics for Cyber Systems |
3 |
|
| Social & Behavioral Sciences Requirement |
3 |
KSC 050 |
| Arts & Humanities Requirement |
3 |
KSC 060 |
| Total Credits: 15 |
|
|
| |
|
|
| Semester 3 |
|
|
|
MLAS 350 - Data Structures for Machine Learning
|
3 |
|
| Total Credits: 3 |
|
|
| |
|
|
| Third Year |
|
|
| Semester 1 |
|
|
| STAT 225 - Introduction to Statistics |
3 |
|
| ENGL 302 - Technical Writing |
3 |
|
| Social and Behavioral Sciences Requirement |
3 |
KSC 050 |
| ETB 310 - Applied Data Analysis and Tools |
3 |
|
| MLAS 390 - Unsupervised Learning in Autonomous Systems |
3 |
|
| Total Credits: 15 |
|
|
| |
|
|
| Semester 2 |
|
|
| COT 480 - Professional Conduct, Ethics, and Analysis |
3 |
|
| MLAS 400 - Supervised learning in Autonomous Systems |
3 |
|
| MLAS 410 - Natural Language Processing |
3 |
|
| Arts & Humanities Requirement |
3 |
KSC 060 |
| 300+ Business Elective |
3 |
|
| Total Credits: 15 |
|
|
| |
|
|
| Semester 3 |
|
|
| STAT 705 - Regression and Analysis of Variance |
3 |
|
| Total Credits: 3 |
|
|
| |
|
|
| Fourth Year |
|
|
| Semester 1 |
|
|
| MLAS 412 - Deep Learning |
3 |
|
| MLAS 500 - Reinforcement Learning in Autonomous Systems |
3 |
|
| STAT 730 - Multivariate Statistical Methods |
3 |
|
| Natural & Physical Science Requirement |
4 |
KSC 040 |
| Total Hours: 13 |
|
|
| |
|
|
| Semester 2 |
|
|
| MLAS 501 - Artificial Intelligence Studio |
3-6 |
|
| MLAS 502 - Autonomous Systems Senior Capstone |
6 |
|
| Free Elective {Institutionally Designated Area} |
3 |
KSC 070 |
| Free Elective {Institutionally Designated Area} |
3 |
KSC 070 |
| Total Hours: 12 |
|
|
| |
|
|
| Total Program Hours: 120 |
|
|
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