Monday & Friday 02:00 PM - 03:20 PM in TTLMAN 0401A
Date Range: Jan 12, 2015 - May 6, 2015
Instructor: Dr. Slobodan Vucetic
Contact: vucetic@temple.edu
Office Hours: Wednesday 1:00pm-2:00 PM and Friday 9:00pm-10:00pm or by appointment
Office: SERC 314
Wednesday 2:00 PM - 3:50 PM in SERC 00357
TA: Shanshan Zhang
Contact: tuf14438@temple.edu
Office Hours: Friday noon-1:00pm or by appointment
Office: SERC 303
Internet and advances in technology have allowed us to collect massive amounts of diverse types of data. There is an increasing recognition that data created by social media, sensors, healthcare, smart grid and the like could be translated into valuable insights. Companies adopting “data-driven decision-making” are achieving significant productivity gains over other firms. Countless startups are popping up with original ideas how to creatively use the data. Governments and cities are turning their data public in hopes that it could lead to improvements in quality of life of their citizens. A data scientist is a person who has the skills, knowledge, and ability to extract actionable knowledge from the data -- either for the good of society, advancement of science, or profit in business. This class is an introduction to the practice of data science. The student will leave the class with a broad set of practical data analytic skills based on building real analytic applications on real data. These skills include collecting, accessing, and transferring data, applying methods from machine learning and data mining to analyze data, and visualization and presentation of results. The students will gain experience in processing “big data” which are too big to fit in the computer’s memory.
This course does not have a designated textbook. The readings are assigned in the syllabus. Here are some textbooks (all optional) related to the course.
CIS 2168, CIS 1166, CIS 2033.
Homework (20%), Course project (40%), Final exam (40%)
Late submission is subject to a 10% penalty for each day late. After three days, late submissions will not be accepted. Students are strongly advised that any act of cheating will result in a score of 0 for the entire assignment and repeat offences will be reported to the Office of the Dean of Students and will result in an automatic F grade. You are encouraged to discuss problems and ideas but the final solution or code must be your own.
Any student who has a need for accommodation based on the impact of a disability should contact me privately to discuss the specific situation as soon as possible. Contact Disability Resources and Services at 215-204-1280 in Room 100, Ritter Annex to coordinate reasonable accommodations for students with documented disabilities.