Graduate Course Proposal Form Submission Detail - CAP6671
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Approved by SCNS
Submission Type: New
Course Change Information (for course changes only):
Comments: Core for MSIT, To GC; Apprd 12/10/13; To USF Sys 2/4/14, to SCNS 2/12/14. Approved eff 4/1/14. Nmbr 6082 apprd as 6671
- Department and Contact Information
Tracking Number Date & Time Submitted 2928 2012-09-11 Department College Budget Account Number Deans Office EN Contact Person Phone Alfredo Weitzenfeld 8636677769 firstname.lastname@example.org
- Course Information
Prefix Number Full Title CAP 6671 IT Intelligent Agents Is the course title variable? N Is a permit required for registration? N Are the credit hours variable? N Is this course repeatable? If repeatable, how many times? 0 Credit Hours Section Type Grading Option 3 C - Class Lecture (Primarily) R - Regular Abbreviated Title (30 characters maximum) IT Intelligent Agents Course Online? Percentage Online B - Face-to-face and online (separate sections) 0
Introduction to Intelligent Agents and its different applications. Intelligent agent technology relates to important areas that include artificial intelligence, neural networks, and expert systems. These areas will be discussed during the class.
A. Please briefly explain why it is necessary and/or desirable to add this course.
B. What is the need or demand for this course? (Indicate if this course is part of a required sequence in the major.) What other programs would this course service?
Increased education access, education attainment and economic development are key priorities for the Florida region served by USF. The U. S. Labor Department, Florida Works, and regional development councils have identified key occupational growth areas anticipated in education; management and administration; nursing and health sciences; criminal justice; industrial, manufacturing, warehousing and distribution engineering; information technology and industrial applications of technology.
C. Has this course been offered as Selected Topics/Experimental Topics course? If yes, how many times?
D. What qualifications for training and/or experience are necessary to teach this course? (List minimum qualifications for the instructor.)
- Other Course Information
Upon completion of this course, students will:
Gain a perspective relative to the identification and strategic use of intelligent agents in information technology applications.
Become knowledgeable about specific software used to create intelligent agents.
Become aware of the many applications that intelligent agents can be applied to.
Gain a perspective relative to the potential future expanded use of intelligent agents.
B. Learning Outcomes
Be able to understand basic components of intelligent agent systems.
Be able to program intelligent agent systems.
Be able to solve basic application tasks using intelligent agent systems.
C. Major Topics
Week 1 Rusell & Norvig, Chapter 1 - Introduction
Rusell & Norvig, Chapter 2 - Intelligent Agents
Week 2 Rusell & Norvig, Chapter 3 - Solving Problems by Searching
Rusell & Norvig, Chapter 4 - Informed Search and Exploration
Week 3 Rusell & Norvig, Chapter 5 - Constraint Satisfaction Problems
Rusell & Norvig, Chapter 6 - Adversarial Search
Week 4 Test #1
Week 5 Rusell & Norvig, Chapter 7 - Logical Agents
Rusell & Norvig, Chapter 8 - First-Order Logic
Week 6 Rusell & Norvig, Chapter 9 - Inference in First-Order Logic
Rusell & Norvig, Chapter 10 - Knowledge Representation
Week 7 Rusell & Norvig, Chapter 11 - Planning
Rusell & Norvig, Chapter 12 - Planning and Acting in the Real World
Week 8 Test # 2
Week 9 Rusell & Norvig, Chapter 13 - Uncertainty
Rusell & Norvig, Chapter 14 - Probabilistic Reasoning
Rusell & Norvig, Chapter 15 - Probabilistic Reasoning Over Time
Week 10 Rusell & Norvig, Chapter 16 - Making Simple Decisions
Rusell & Norvig, Chapter 17 - Making Complex Decisions
Week 11 Rusell & Norvig, Chapter 18 - Learning from Observations
Rusell & Norvig, Chapter 19 - Knowledge in Learning
Week 12 Rusell & Norvig, Chapter 20 - Statistical Learning Methods
Rusell & Norvig, Chapter 21 - Reinforcement Learning
Week 13 Rusell & Norvig, Chapter 22 - Communication
Rusell & Norvig, Chapter 23 - Probabilistic Language Processing
Week 14 Test #3
E. Course Readings, Online Resources, and Other Purchases
Proposed Online Resources
The course requires students to use the internet for investigative purposes
An updated and recent reading list will be provided at the start of the semester. Other materials such as web resources, handouts, etc. will be provided in class and via Blackboard.
F. Student Expectations/Requirements and Grading Policy
Students are expected to attend all classes on a regular basis, participate in class discussions, and turn-in assignments on-time. The grading policy will be consistent with USF policies as stated in the USF Student Handbook. Student performance will be evaluated based on 3 tests, a case study, and a term project. The relative weights for each of these components in determining the final grade are as follows: Test #1 25% of final grade Test #2 25% of final grade Test #3 30% of final grade (cumulative) Term Project 20% of final grade
A grade will be determined based on the total of possible points earned, as follows: A: 90 100, B: 80 89, C: 70 79, D: 60 69, F: 0 59
G. Assignments, Exams and Tests
Assignments, exams and tests
H. Attendance Policy
Course Attendance at First Class Meeting Policy for Graduate Students: For structured courses, 6000 and above, the College/Campus Dean will set the first-day class attendance requirement. Check with the College for specific information. This policy is not applicable to courses in the following categories: Educational Outreach, Open University (TV), FEEDS Program, Community Experiential Learning (CEL), Cooperative Education Training, and courses that do not have regularly scheduled meeting days/times (such as, directed reading/research or study, individual research, thesis, dissertation, internship, practica, etc.). Students are responsible for dropping undesired courses in these categories by the 5th day of classes to avoid fee liability and academic penalty. (See USF Regulation Registration - 4.0101,
Attendance Policy for the Observance of Religious Days by Students: In accordance with Sections 1006.53 and 1001.74(10)(g) Florida Statutes and Board of Governors Regulation 6C-6.0115, the University of South Florida (University/USF) has established the following policy regarding religious observances: (http://usfweb2.usf.edu/usfgc/gc_pp/acadaf/gc10-045.htm)
In the event of an emergency, it may be necessary for USF to suspend normal operations. During this time, USF may opt to continue delivery of instruction through methods that include but are not limited to: Blackboard, Elluminate, Skype, and email messaging and/or an alternate schedule. Its the responsibility of the student to monitor Blackboard site for each class for course specific communication, and the main USF, College, and department websites, emails, and MoBull messages for important general information.
I. Policy on Make-up Work
No credit will be given for missed/late work unless the student has a documented medical or family emergency.
J. Program This Course Supports
Master of Science in Information Technology
- Course Concurrence Information