Module Number INF3240 |
Module Title Natural Language Processing: A Practical Introduction |
Type of Module Elective Compulsory |
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ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | In the winter semester | |
Language of instruction | German | |
Type of Exam | Exercise, final project |
|
Lecture type(s) | Lecture | |
Content | The term Natural Language Processing (NLP) covers the machine analysis and generation of natural language data. Prominent NLP applications include |
|
Objectives | Students have basic knowledge of general concepts, resources and procedures in the field of Natural Language Processing (NLP) and can implement these practically in the form of small programmes. |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation |
INFM1110 Practical Computer Science 1: Declarative Programming, INFM1120 Practical Computer Science 2: Imperative and Object-Oriented Programming |
|
Lecturer / Other | Lichte | |
Literature | - |
|
Last offered | Wintersemester 2022 | |
Planned for | Wintersemester 2024 | |
Assigned Study Areas | BIOINFM2510, INFM2510, INFM3110, MDZINFM2510, MEINFM3210, MEINFM3220 |