CSE 5522
Transcript Abbreviation:
Adv Artif Intel
Course Description:
Survey of advanced concepts, techniques, and applications of artificial intelligence, including knowledge representation, learning, natural language understanding, and vision.
Course Levels:
Undergraduate (1000-5000 level)
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
3.00
Max Credit Hours
(N/A)
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 3521 or 5521, and enrollment in CSE, CIS, ECE, or Data Analytics major; or Grad standing.
Electronically Enforced:
No
Exclusions
(N/A)
Course Goals / Objectives:
Master advanced AI concepts, theories, and terminology
Master computational techniques in typical AI subareas
Master knowledge representation and reasoning methods in AI
Be exposed to current research topics in AI
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Probability theory | 3.0 | 0.0 | 0.0 | 0 |
| Bayesian networks and probabilistic representations | 6.0 | 0.0 | 0.0 | 0 |
| Exact and approximate probabilistic inference | 6.0 | 0.0 | 0.0 | 0 |
| Machine learning | 6.0 | 0.0 | 0.0 | 0 |
| Computer vision | 3.0 | 0.0 | 0.0 | 0 |
| Computational audition | 3.0 | 0.0 | 0.0 | 0 |
| Automatic speech recognition | 3.0 | 0.0 | 0.0 | 0 |
| Natural language processing | 3.0 | 0.0 | 0.0 | 0 |
| Information retrieval | 3.0 | 0.0 | 0.0 | 0 |
| Diagrammatic reasoning and abductive inference | 3.0 | 0.0 | 0.0 | 0 |
| Total | 39 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Quizzes | 30% |
| Project | 35% |
| Homeworks | 35% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Artificial Intelligence: A Modern Approach, 3rd edition | Stuart Russell and Peter Norvig |
ABET-CAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions. |
| 2 | Significant contribution (7+ hours) | Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline. |
| 3 | Some contribution (1-2 hours) | Communicate effectively in a variety of professional contexts. |
| 4 | Some contribution (1-2 hours) | Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles |
| 6 | Some contribution (1-2 hours) | Apply computer science theory and software development fundamentals to produce computing-based solutions. |
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes:
| Outcome | Contribution | Description |
|---|---|---|
| 1 | Significant contribution (7+ hours) | an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics |
| 2 | Significant contribution (7+ hours) | an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors |
| 3 | Some contribution (1-2 hours) | an ability to communicate effectively with a range of audiences - pre-2019 EAC SLO (g) |
| 4 | Some contribution (1-2 hours) | an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts |
| 6 | Significant contribution (7+ hours) | an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions |
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)