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 (KMeans, Hierarchical Agglomerative Clustering), Search (Ad Hoc Retrieval) and Ranking (the Vector Space Model, Search Evaluation), Classification (Knn and Rocchio) Collaborative Filtering and ContentBased 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  10:3011:30  Tuesday  Full Professor Kurland Oren  Lecture  10  11 
216  ðäåì  14:3016:30  Monday   Exercise  11 

100  áìåîôéìã  10:3011:30  Tuesday  Full Professor Kurland Oren  Lecture  10  12 
112  ðäåì  14:3016:30  Wednesday   Exercise  12 

     Lecture  60  69 
     Exercise  69 
TextbooksPublished  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