Learning Outcomes:
- Understand and build systems in the field of affective computing as well as the theory and ethics of the field.
- Apply technologies such as facial expression recognition and physiological sensors as part of affective systems.
- Apply such technologies to different application domains such as mobile computing, virtual reality, and game development.
- Build affective systems that detect, respond to, and/or simulate emotion.
- Develop a long-term project to build an independent, affective interface which will be evaluated through scientific testing and analysis.
- Learn how to critically read, evaluate, discuss, and write about scientific papers in this field.
Textbooks
Handouts and relevant readings will be provided to you. If you wish to do further reading on the topic, these are great resources (but not required!):
- Affective Computing Rosalind Picard
- The Oxford Handbook of Affective Computing Optional Text.
- The Media Equation Optional Text.
Prerequisites
This is an advanced class that involves a lot of independent work. Therefore it requires a prerequisite of CS 212 or equivalent.
Grading
- Lab Assignments: 36%
- Final Project: 48%
- Scientific Paper Reports: 4%
- Class Participation - 9%
- Scientific Paper Class Discussions
- Ethics Class Debate
- Class Participation General
- Attendance of CS department events: 1%
100.0-93.0 | A |
92.9-90.0 | A- |
89.9-87.0 | B+ |
86.9-83.0 | B |
82.9-80.0 | B- |
79.9-77.0 | C+ |
76.9-73.0 | C |
72.9-70.0 | C- |
69.9-67.0 | D+ |
66.9-63.0 | D |
62.9-60.0 | D- |
59.9-0 | F |
Assignments
Labs and projects are due at 11:59pm on the due date. For any late submissions for programming assignments, 20% of your received points will be deducted per day for two days, after which there will be no credit.
Lab Assignments
Lab assignments will introduce you to technologies and application domains in affective affective and will be completed in the first half of the semester.
Final Project
Students will work on a Final Project for the second half of the semester. Students can meet with the Professor to discuss their ideas and progress. Students will present a final presentation as well as have code reviews. Students will evaluate their final project and write up a report on their findings.
Scientific Paper Reports
Students are expected to submit reports on several papers presented and be expected to be part of the discussion after paper presentations.
Participation
Each student will be graded on their contribution and discussion on scientific papers, to the class ethics debate, questions for guest speakers and speakers/panels on field trips.
Attendance of CS Departmental Events
Each student will be expected to attend three CS department events during the Spring 2019 semester. These can include: Women in Tech, ACM Student Chapter, Colloquium Talks.
Attendance Policy
Attendance is mandatory. Absences are only excused in cases of verified family or medical emergency.
Academic Dishonesty
Students are required to follow the University's Honor Code: "As a Jesuit institution committed to cura personalis- the care and education of the whole person- USF has an obligation to embody and foster the values of honesty and integrity. USF upholds the standards of honesty and integrity from all members of the academic community. All students are expected to know and adhere to the University's Honor Code. " You can find the full text of the code online at www.usfca.edu/fogcutter.
This includes but is not limited to the following:
- ALL assignments are to be completed individually unless specified, in writing, on the assignment. Academic dishonesty will NOT be tolerated. This is your warning! Students are encouraged to meet with me if they have questions regarding assignments or this policy. Students caught cheating will face severe penalty.
- receive help from the professor and the TA.
- discuss the requirements of the assignments, the meaning of programs, or high-level algorithms with other students or outside sources. If you have any doubt with respect to what is acceptable to discuss, speak with the professor first.
- look at another student's code.
- look at another student's solutions to homework problems.
- receive unapproved help from an outside source including a tutor or a family member.
- submit code which has, in whole or in part, been copied from any other source (including another student, a web page, or another text).
- submit solutions to problems which have, in whole or in part, been copied from any other source (including another student, a web page, or another text).
- Any help from a source other than the professor, the lab assistant, or a TA must be acknowledged. Example sources that must be cited are a parent, a family friend, and an outside tutor.
- If you wish to get a tutor in the course, speak with the professor.
- Any code submitted by a student must be completely original. No portion of a student's code may be copied from any other source (including, but not limited to, another student, a web page, or another text).
- Students caught violating the academic honesty policy will face severe penalty. A first offense will result in a zero on the assignment and a report to the Dean's office. A second offense will result in the student failing the course.
Student Support
Student Disability Services
If you are a student with a disability or disabling condition, or if you think you may have a disability, please contact USF Student Disability Services (SDS) at (415) 422-2613 within the first week of class, or immediately upon onset of disability, to speak with a disability specialist. If you are determined eligible for reasonable accommodations, please provide me with your SDS Verified Individualized Services and Accommodations (VISA) form, and we will discus your needs for this course. For more information, please visit: http://www.usfca.edu/sds or call (415) 422-2613.
Learning and Writing Center
The Learning and Writing Center (LWC) provides writing assistance to students in their academic pursuits. Services are free to students and include individual and group tutoring appointments and consultations to develop specific study strategies and approaches. Please visit http://www.usfca.edu/lwc for more information.
Center for Academic and Student Achievement (CASA)
The Center for Academic and Student Achievement (CASA) provides students with academic and personal support to promote holistic student development. Please visit http://usfca.edu/casa/ for more information.