Graduate Course Proposal Form Submission Detail - CIS6946
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Approved by SCNS
Submission Type: New
Course Change Information (for course changes only):
Comments: to GC 2/21/13; elective. GC apprvd 3/4/13. to USF Sys 3/5/13. to SCNS 4/22/13. Apprd eff 6/1/13.
- Department and Contact Information
Tracking Number Date & Time Submitted 3084 2013-02-11 Department College Budget Account Number Computer Science and Engineering EN 210800 Contact Person Phone Dr. Miguel A. Labrador 8139743260 email@example.com
- Course Information
Prefix Number Full Title CIS 6946 Internships/Practicums/Clinical Practice Is the course title variable? N Is a permit required for registration? Y Are the credit hours variable? Y Is this course repeatable? Y If repeatable, how many times? 2 Credit Hours Section Type Grading Option 3-0 I - Internships (Including Practicum) S - S/U Only Abbreviated Title (30 characters maximum) Internships/Practicums Course Online? Percentage Online C - Face-to-face (0% online) 0
Practical computer science and/or computer engineering work under industrial supervision with a faculty approved outline and end-of-semester report. One semester for variable credit and S-U only.
A. Please briefly explain why it is necessary and/or desirable to add this course.
Needed to compete with national trends
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?
Increasing the number of students who take part in experiential learning is a thrust of the College of Engineering. This course would not be a required core course in the MS and PhD programs in Computer Science and Engineering - it would be an elective credit course. For MS students it will share 3 credits with CIS 6900 Independent Study. No credit limit restrictions for PhD students or MS students taking it for no credit. Such credit can be applied toward (for a maximum of 6 hours) required elective hours in the BS in Computer Science or BS in Computer Engineering programs. This course would not serve other programs it is intended for majors in the Department only.
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
Objectives include 1) becoming familiar with industrial methods and processes as they apply to software and/or hardware development, and 2) applying knowledge from previous coursework to real world problems in the setting of an industrial internship.
B. Learning Outcomes
The course content is determined by the nature of the industrial internship. A student enrolling in this proposed course is required to submit an outline of the expected work at the start of the semester. This outline will be reviewed and approved by the responsible faculty member. At the end of the semester, a report will be submitted. Based on the report, a grade of S or U will be earned. The report will show attainment of the stated objectives (1) and (2). The faculty member may also optionally contact the supervisor of the student to better understand what the student learned and how well the student applied knowledge of computer science and/or computer engineering. The course credit to be give (variable) is to be determined by the faculty member.
C. Major Topics
Topics are by determined by the nature of the industrial internship.
E. Course Readings, Online Resources, and Other Purchases
To be determined by the nature of the industrial internship.
F. Student Expectations/Requirements and Grading Policy
At the end of the semester, the student will be required to submit a report. The faculty member may also optionally contact the supervisor of the student to better understand what the student learned and how well the student applied knowledge of computer science and/or computer engineering. Based on the report and the feedback of the supervisor, a grade of S or U will be given.
G. Assignments, Exams and Tests
To be determined by the nature of the industrial internship.
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
This course will follow the university policies regarding the academic integrity and incomplete grades.
J. Program This Course Supports
MS and PhD in Computer Science and Engineering
- Course Concurrence Information
MS in Computer Science
MS in Computere Engineering
PhD in Computer Science and Engineering