Introduction to Data Science and Engin. - 094700
|
|
|
|
|
| |
Lecture |
Exercise |
Laboratory |
Project or
Seminar |
House
Work |
Weekly
Hours |
1 |
1 |
|
|
2 |
|
Determination of the grade according to progress during the semester and a final examination.
|
Prerequisites:
| |
(
| | Algebra a |
104166
| |
| | |
and
| Introduction to Computer Science H |
234117
| ) |
| |
|
Overlapping Courses:
| | | | Introduction to Data Analysis in Python |
094202
| |
| |
|
Incorporating Courses:
| | | | Introductio to Data Science |
094201
| |
Programming in Python with Emphasis on Data Processing, Analysis and Visualization. Basic Concepts in Statistics (Mean, Median, Variance, Standard Deviation, Correlation), Clustering Algorithms (K-Means, Hierarchical Agglomerative Clustering), Search (Ad Hoc Retrieval) and Ranking (the Vector Space Model, Search Evaluation), Classification (Knn and Rocchio) Collaborative Filtering and Content-Based Recommendation.
Times and places of examinations
02/2020
2020/2021 Spring Semester
| examination time | day | date | Season |
|---|
| | Wednesday | 14.07.2021 | à |
| | Thursday | 14.10.2021 | á |
Timetable to semester 02/2020
2020/2021 Spring Semester
| Room | Building | Hour | day | Lecturer | Exercise
Lecture | no. | Registering
Group |
|---|
| 100 | áìåîôéìã | 10:30-11:30 | Tuesday | Full Professor Kurland Oren | Lecture | 10 | 11 |
| 216 | ðäåì | 14:30-16:30 | Monday | | Exercise | 11 |
| |
| 100 | áìåîôéìã | 10:30-11:30 | Tuesday | Full Professor Kurland Oren | Lecture | 10 | 12 |
| 112 | ðäåì | 14:30-16:30 | Wednesday | | Exercise | 12 |
| |
| | | | | | Lecture | 60 | 69 |
| | | | | | Exercise | 69 |
Textbooks| Published | Publisher | Authors | Book |
|---|
| 2014 | uni/ of oxford | kevin sheppard | introduction to python for econometrics, statistics and data analysis |
Created in 22/04/2021 Time 15:08:48
