Anindya Maiti, Ph.D

University of Oklahoma / Graduate

Perspectives on Computing

Finding a path into computing research: its ideas, practices, tools and wider responsibilities.

  • CS 5903
  • 3 credits
  • Co-taught with Song Fang

The course

What we investigate.

Explore the major areas of computer science while developing the habits of graduate research. Read and discuss research papers, practice scientific communication, work with research tools, and develop a semester project that connects ideas with practice.

Learning outcomes

  • Connect foundational ideas across the major areas of computing.
  • Read, discuss and communicate computing research.
  • Plan a path into graduate study and research at OU.
  • Develop a semester project and explain its results.

Connected ideas

The ground we cover.

01

Computing research

  • Systems, security and privacy
  • Theory
  • Artificial intelligence and machine learning
  • People and data
02

Research practice

  • Scientific integrity and ethics
  • Literature review and peer review
  • Research communication
  • Graduate study and career planning
03

Tools and applications

  • Development and research tools
  • Cloud computing and the command line
  • Data wrangling
  • Cyber-physical systems and emerging applications

Fall 2025 / Materials

Textbooks, tools and readings.

Readings, assignments, announcements and offering-specific requirements are available to enrolled students on Canvas.

Open OU Canvas

No textbook was required for Fall 2025. Research papers, project guidance and software resources were shared through the course.

Examples from my research

Fall 2025 / Schedule

A path through the semester.

  1. Week 01

    Welcome to OU computer science · Graduate study and program pathways

  2. Week 02

    Academic and scientific integrity · Career pathways and program planning

  3. Week 03

    Systems: foundations, classic work and research at OU

  4. Week 04

    Research skills and sharing what you learn

  5. Week 05

    Project analysis and discussion · A systems case study

  6. Week 06

    Theory: foundations and classic work

  7. Week 07

    Cyber-physical systems · Internet of Things

  8. Week 08

    AI and machine learning: foundations, classic work and research at OU

  9. Week 09

    People and data: foundations, classic work and research at OU

  10. Week 10

    Tools for development and research

  11. Week 11

    People and data: research and case studies · Academic program planning

  12. Week 12

    Cloud computing · Command-line tools · Data wrangling

  13. Week 13

    Smart homes · Virtual reality · Autonomous driving

  14. Week 14

    Emerging computing topics

  15. Week 15

    Project demonstrations and presentations

  16. Week 16

    Project demonstrations and presentations

Fall 2025 / Assessment

Learning, put into practice.

35%

Individual assignments

Research paper summaries and peer-review writeups.

40%

Semester project

A lightning talk, progress report, code and documentation, final report and poster.

15%

Research paper presentation

An in-class presentation of research.

10%

Participation

Engagement in class discussions and activities.

Past offerings

Taught at OU.

Co-taught with Song Fang.