General Information
Class: Thursdays, 6pm - 8.50pm, OH 218
Grader: Wafaa Almuhammadi, wsalmuhammadi@wpi.edu
Office Hours: Tuesdays and Thursdays 3 - 5pm, Wednesday from 4 - 5pm.
(All office hours will be held in the Zoolab in Fuller Room A21)
Instructor: Prof. Emmanuel Agu, FL-139, 508-831-5568, emmanuel@cs.wpi.edu
Office Hours: Thursdays 5:00PM - 6:00PM; Others by appointmentRequired Texts:
- Head First Android Development, Dawn Griffiths and David Griffiths (Second Edition), O'Reilly Books, 2017
- Android Programming: The Big Nerd Ranch (Third edition), by Bill Phillips, Chris Stewart and Kristin Marsicano The Big Nerd Ranch, 2017
- Head First Kotlin, Dawn Griffiths and David Griffiths, O'Reilly Books, 2019
- Official Android Documentation, by Google
Supplemental Texts:
Class Websites: The class website is at http://web.cs.wpi.edu/~emmanuel/courses/cs528/F19/.
- Introduction to Android Application Development: Android Essentials (Fifth edition), Joseph Annuzzi Jr, Lauren Darcey and Shane Conder, Addison-Wesley, 2015
- Ubiquitous Computing Fundamentals, John Krumm, CRC Press, 2010
Points Distribution: Presentation 15%, Assigned Projects 35%, Final project: 30%, Quizzes: 20%
Access to papers: A number of the assigned papers are from the ACM and IEEE digital libraries. To access these papers, just go the the WPI Library website (http://www.wpi.edu/+library/), search for the paper title and click on the link that comes up. You may be required to log in using your WPI username and password.Late Assignment Credit: Late programming assignments will be penalized 15 points off per day (per 24 hours). Assignments later than 4 days late will not be accepted.
Cheating (a.k.a., academic dishonesty): , defined as taking credit for work you did not do or knowledge you do not possess, is strictly forbidden. First offenders will receive a zero grade for the assignment or quiz in question and an academic dishonesty report will be filed with the Office of Student Affairs. Repeat offenders will receive an NR for the course and the case will be brought before the campus hearing board (see Student Handbook). Using or submitting code retrieved from online repositories such as gitHub, or which was previously submitted by a student in a previous iteration of this class (or CS 4518 undergraduate version) is considered cheating
Course Overview
The goal of this class is to acquaint participants with some of the fundamental concepts and state-of-the-art research in the computer science areas of mobile computing and ubiquitous computing. This semester's class will focus on emerging mobile and ubiquitous computing ideas that are implemented on Android smartphones, but will also discuss Smart environments and Internet of Things. The course will consist of assigned projects including Android app programming projects, student presentations, discussions and a final project. There will also be quizzes and the students will present papers and selected topics in groups.
Recommended Background: CS 502 or an equivalent graduate level course in Operating Systems, and CS 513 or an equivalent graduate level course in Computer Networks, and proficiency in a high programming language. This semester's class focusses on programming Android applications which is Java-based. knowledge of or willingness to learn Java is a plus.
Course Timeline: For the first 8 weeks, I will introduce mobile and ubiquitous course concepts and definitions, and introduce Android programming. In those 8 weeks, 4 projects will be assigned to students. Students will also work in teams to brainstorm on final project ideas which they will present in week 9. In weeks 9-14, students will work on their final projects. Additionally, in week 11, students will present overviews of new emerging mobile components and APIs that might be useful for the final projects. The TENTATIVE course timeline is summarized below along with class and quiz dates.
Dates Quiz Days Class Topics Deadlines Aug 22 1 Course Introduction, Definitions (Mobile, Ubiquitous Computing, IoT, Android Introduction and Setup) Aug 29 2 Android Hello World, Android UI Design, Examples, Interactive and data-driven Android UI Project 0 due Sept 5 MONDAY CLASS SCHEDULE: NO CLASSES Sept 12 Quiz 3 Android Component types, process model, app lifecycle, logging errors, Intents and fragments Project 1 due,
Students form groups for Projects 2, 3 & Final ProjectSept 19 4 Camera: taking pictures, face recognition, interpretation Sept 26 Quiz 5 Playing Sound and Video, Location-Aware computing (determining location, geocoding, Maps & Google places), Oct 3 6 Introduction to sensors, Android sensor programming, Activity Recognition Project 2 due Oct 10 Quiz 7 Final Project Overview & More Android Ubicomp Components Groups submit 1 slide proposed final Project Oct 17 TERM BREAK: NO CLASSES Oct 24 8 Introduction to Machine Learning & Classification, SmartPhone Sensing Project 3 due Oct 31 9 PROPOSAL: Student propose final projects Final Project Proposal (Written Introduction, related work and approach) due
Deadline for students to email me their 2 Tech talk topicsNov 7 10 Physiological (Mood and Affect) Sensing, Quantified Self & Voice-based Analytics Project 4 due Nov 14 Quiz 11 TECH TALK: Students groups present on new Android/Mobile Components/APIs Nov 21 12 Human Behavior Sensing (Attention, Boredom, Notifications), Gamification, Energy Efficient Computing, Mobile Security Nov 28 THANKSGIVING HOLIDAY: NO CLASSES Dec 5 Quiz 13 Smart Homes/Spaces/Devices, IoT & Mobile Usage Characterization Studies, Wireless Networks Dec 12 14 Students present final projects Final Projects Due Student Talks: In preparing your talk, please use the following powerpoint template for uniformity. Also please send me your powerpoint slides by noon on the day of your talk so that I can make the slides available on class website. A summary of presentation guidelines can be found [ HERE ]. Students are encouraged to choose presentation topics that may be useful for their class projects. Groups will become our "in-house experts" on the mobile technologies they present on and should be willing to help other groups that need to learn that technology for their own project. All students will also be expected to participate in class discussions.
Programming Projects: For programming projects, students will either run their work on the Android Studio emulator or use their own Android phones if they own up-to-date Android phones. MATLAB will be used for Machine Learning Projects. Android Studio and MATLAB are installed in the Zoolab in Fuller basement. For students who do have access to Android phones, a few phones will be available to be loaned to students FOR THE ASSIGNED PROJECTS. It is anticipated that most of the final projects will involve building an Android application or classification of sensor data. The final projects will typically create a mobile/ubicomp solution to a societal problem.
Assigned Projects
- Project 0: Android Setup and Practice
- Project 1: Designing Android Screens (Layouts, Views and Widgets)
- Project 2: Exploring the Android Camera and Images
- Project 3: Recognizing Activities with Android Sensors
- Project 4: Human Activity Classification
- Mobile Technology Talk [ Grading Rubric ] [ Tech Talks ]
- SMSD Module
Final Project
Lecture Slides, Code and Paper Downloads
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