Gary M. Weiss's Teaching

I have taught a variety of courses over the years, and my teaching history is listed below, but recently I have mainly taught graduate and undergraduate courses in "Data Mining" and and undergraduate course in "Theory of Computation". Up until 2011 the course I taught the most was our introductory "Structures of Computer Science" course, which covers discrete math and satsifies Fordham's core curriculum requirement in mathematical/computational reasoning. I coauthored a textbook on this topic, Fundamentals of Discrete Structures. Information on my Data Mining courses is provided below.

The Data Mining Courses

Data Mining involves finding hidden patterns in data using automated or semi-automated "intelligent" methods. Data mining can be viewed as a form of data analysis but the methods that are used tend to come out of artificial intelligence. The undergraduate Data Mining course is CISC4631 and the graduate one is CISC5790 (formerly CISC6930). I suggest if undergrads are interesting in conducting research with me they take the data mining course as soon as possible, ideally in their Sophomore year.

Current and Upcoming Courses

In Fall 2020 I will be teaching an undergraduate Data Mining (CISC4631) class and a graduate data mining (CISC5790) class. Also, as of the fall semester I will move from Fordham's Rose Hill Bronx campus to the Lincoln Center Manhattan campus.

Teaching History

Graduate Classes Taught
  • Algorithms and Data Analysis (Fall 05, 06, 08, 09, 15)
  • Data Mining (Spring 14, 16, 18; Fall 16, 19, 20)
  • Master’s in Data Science Capstone (Summer 20)
  • Projects and Internships (Spring 17, 18)
  • Computer Language Theory (Spring 07)
  • Data Communications and Networks (Fall 06)

    Undergraduate Courses Taught

  • Structures of Computer Science (Spring/Fall: 05, 06, 08; Fall 09, Spring/Fall 10, Spring 11)
  • Discrete Structures (Fall 14)
  • Data Mining (Spring 05, 13, 14, 19, 20; Fall 07, 08, 10, 19, 20)
  • Computers and Robots in Film (Fall 12, Spring & Fall 14, Spring 15)
  • Theory of Computation (Spring 08, 12, 13, 15, 16, 18, 19, 20)
  • Computer Algorithms (Fall 15)
  • Wireless Sensor Data Mining (Fall 11)
  • Projects and Internships (Fall 11, 12)
  • Seminars and Directed Study (Spring 14, 15)
  • Artificial Intelligence (Spring 10)
  • Computer Data Analysis (Fall 07)
  • Applied Database Systems (Spring 05)
  • Systems Analysis (Fall 04)

     

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