TeachngAssist/TomorrowsFaculty

Teaching Assistants as Tomorrow's Faculty prepares Teaching Assistants (TAs) at the College of Information and Computer Sciences to fulfill their duties in an effective and pedagogically sound manner. The two credit (not repeatable) course is semester long and taken by all TAs prior to assuming assistantship.

S-Adv Topics in Info Retrieval

A seminar in which students will read, present, and discuss research papers on recent and advanced topics in Information Retrieval (IR). Students are expected to read up to two papers per week. For one or more sessions in the semester, students are expected to make summary presentations and lead discussion of the papers. Students should have taken COMPSCI 646, Information Retrieval, or a comparable course. This seminar assumes prior knowledge of fundamental information retrieval concepts.

S-Adv Topics in Info Retrieval

A seminar in which students will read, present, and discuss research papers on recent and advanced topics in Information Retrieval (IR). Students are expected to read up to two papers per week. For one or more sessions in the semester, students are expected to make summary presentations and lead discussion of the papers. Students should have taken COMPSCI 646, Information Retrieval, or a comparable course. This seminar assumes prior knowledge of fundamental information retrieval concepts.

P- Artificial Intelligence

The goal of this course is to provide Professional Masters students with industry mentorship and real-world data science training. Beyond-classroom educational opportunities are an excellent way to gain practical experience on a substantial project, to learn advanced skills, to collaborate with a professional PhD researcher, to form a connection to a data science company, and to work in a team with other graduate students. Industry partners propose semester-long data science projects.
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