COMPSCI 528: Mobile and Ubiquitous Computing - VP Nguyen

Welcome to COMPSCI 528: Mobile and Ubiquitous Computing!

Course Description: This course will introduce students to the field of mobile sensing and ubiquitous computing, an emerging CS research area that aims to design and develop disruptive technologies with hardware and software systems for real-world messy, noisy, and mobile scenarios. The students will learn how to build mobile sensing systems, implement them with ubiquitous computing tools, make sense of the sensor data, and model the target variables. Lastly, the students will learn how to think critically about problems in many application areas, including Wearable Computing, Medicine, and Sustainability, and subsequently practice to find appropriate Mobile solutions. The student is expected to work on different hands-on assignments, critique writing, and a final project. This course counts as an Elective toward the CS Major.

Student Learning Outcomes: This course aims to introduce students to state-of-the-art cyber-physical systems in healthcare applications. Every topic begins from first principles and gradually ramps up to the system design and application, helping students to understand the state-of-the-art developments in this area and initiate research. Students are expected to perform various projects, including signal processing algorithm implementation and embedded system implementation, to obtain hands-on knowledge.

Hands-on Experiences: Students will gain practical, hands-on experience by completing assignments and projects utilizing ESP32-S3 hardware. Tutorials will be provided in two class meetings on February 21 and March 06, 2024.

Textbook: There is no required textbook for this course.

TAs and Graders:
+ Amir Radmehr aradmehr@umass.edu
+ Bhawana Chhaglani bchhaglani@umass.edu
+ Suraj Pathak sspathak@umass.edu
+ Ujwala Munigela umunigela@umass.edu

Course schedule

• Course Grade: Course grades are a weighted average of the grades earned on all graded material. The final grade is Min(100, actual grade). The weights for the different categories are:
  • 30%: Assignments, which contain both written and programming portions. We plan to have four total homework assignments (HW1 to HW4).
  • 5%: Participation (in class and online discussion)
  • 30%: Midterm, to be in-class.
  • 35%: Final Project, including project proposal (10%), progress report (5%), in-class presentation (5%), and final report (15%). These are done in groups.

  Letter Grades are as follows:

  • 94% – 100% ....... A
  • 90% – 93.9%...... A-
  • 87% – 89.9%...... B+
  • 84% – 86.9% ...... B
  • 80% – 83.9%...... B-
  • 77% – 79.9%...... C+
  • 74% – 76.9% ...... C
  • 70% – 73.9%...... C-
  • 67% – 69.9%...... D+
  • 64% – 66.9% ...... D
  • 60% – 63.9%...... D-
  • 00% – 59.9% ..... F
  
  
• Programming Assignments: The Programming Assignments will be in the C, C++, Java, Python, or combined depending on the project you select. The grading of the Programming Assignments is a combination of completeness (all specifications are covered), correctness of results, and style. All programming assignments are due at the beginning of class on the due date. Submissions will be made via Canvas. I do not allow late work to be submitted unless there is prior written approval by me based on special circumstances.
  
  
• Exam: Exams are closed book. One two-sided cheat sheet of hand-writing is allowed Makeup exams are not normally given; in special circumstances , arrangements should be made prior to the exam date if at all possible.
  
  
• Grade Dissemination: I will be utilizing the Canvas system to record your grades. You can check on Canvas for all of your current grades