Statistical Natural Language Processing

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Overview

Subject code

STA

Course Number

9796

Description

The aim of this course is to provide the students with experience in applying mathematical models, cutting-edge algorithms, and large-scale computing resources to the analysis of big data in real-world settings. Subjects to be covered will be drawn from areas such as time series analysis, mathematical modeling, formulation of algorithms, and natural language processing. Students will gain an invaluable experience in analyzing quantitative and qualitative data, and learn best in-class practices for applying these models to real world datasets.

Career

Graduate

Credits

Value

1.5

Max

1.5

Min

1.5

Course Count

1

Number Of Credits

1.5

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

1.5

Default Section Size

30

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

1.5