Subject: Subject Sylbus: Introduction to Data Science and Engin. - 094700 (Current)

Introduction to Data Science and Engin. - 094700
Credit
Points
1.5
Given In
Semester
b
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 timedaydateSeason
Wednesday14.07.2021
Thursday14.10.2021

Timetable to semester 02/2020 2020/2021 Spring Semester
RoomBuildingHourdayLecturerExercise
Lecture
no.Registering
Group
10010:30-11:30TuesdayFull Professor Kurland OrenLecture1011
21614:30-16:30MondayExercise11
10010:30-11:30TuesdayFull Professor Kurland OrenLecture1012
11214:30-16:30WednesdayExercise12
Lecture6069
Exercise69


Textbooks
PublishedPublisherAuthorsBook
2014uni/ of oxfordkevin sheppardintroduction to python for econometrics, statistics and data analysis

Created in 22/04/2021 Time 15:08:48