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The Hebrew University of Jerusalem
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עברית
Department of Computer Sciences (521)
Track Computer science combined with Statistics and Data Science (3017)For Year:
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
Study Program
1st Year
Compulsory studies
.
Course id
Course name
Points
Semester
Until year
Basic course
Teaching program
67100
System Introduction for CS
0
3
1
521
67101
Introduction to Computer Science
7
3
1
521
67109
Data Structures
4
3
1
521
67315
Programming Workshop in C & C++
4
2
1
521
80114
Mathematical Methods I
6
3
1
521
80131
INFINITESIMAL CALCULUS (1)
7
3
1
521
80134
LINEAR ALGEBRA (1)
6
3
1
521
80181
DISCRETE MATHEMATICS
5
3
1
521
80430
Introduction to Probability and Statistics
6
3
1
521
Total Compulsory Points: 45
Elective studies
.
Course id
Course name
Points
Semester
Teaching program
80031
Active learning workshop to course INFINITESIMAL CALCULUS (1)
0
3
521
80034
Active learning workshop to course LINEAR ALGEBRA (1)
0
3
521
2nd Year
Compulsory studies
.
Course id
Course name
Points
Semester
Until year
Basic course
Teaching program
67125
Introduction to Object Oriented
4
3
2
521
67504
Algorithms
5
3
2
521
67521
Computational Models, Computability and Complexity
5
3
2
521
67577
Introduction to Machine Learning
5
2
2
521
67925
Computer Cons. Workshop: From Nand to Tetris
5
3
2
521
80135
LINEAR ALGEBRA (2)
6
3
2
521
Total Compulsory Points: 30
Compulsory studies
.
Course id
Course name
Points
Semester
Until year
Basic course
Teaching program
52003
Introduction to Statistics
4
1
2
824
52006
Probability for CS students
4
2
2
824
52307
Regression and Linear Models (CS)
4
2
2
824
Total Compulsory Points: 12
Compulsory elective studies
You must choose at least 14 credits from this list in the years 2nd,3rd. .
Course id
Course name
Points
Semester
Teaching program
52001
Simulations in Statistics
3
2
824
52020
Geometry of information
3
1
824
52028
Time series analysis in the context of climate change
3
2
824
52417
Causal Inference
3
1
824
52418
Markov Chains: Theory and Applications
3
1
824
52419
Introduction to Signal Processing
3
1
824
52542
Generalized Linear Models
3
1
824
52700
Categorical Data Analysis
3
1
824
52710
PRINCIPLES OF EXPT DESIGN & SAMPLING METHODS
3
2
824
52750
Topics in Estimation From Sample From Surveys
3
2
824
52789
Topics in Statistics
3
1
824
52935
Probabilistic Methods in Artifical Intelligence
4
2
824
67455
Introduction to Speech Processing
3
2
521
67506
Databases
5
3
521
67542
Computer Vision 3D
2
2
521
67548
INFORMATION THEORY AND STATISTICAL INFERENCE
3
2
521
67561
ELEMENTS OF INFORMATION THEORY
4
1
521
67564
Bayesian Machine Learning
4
1
521
67658
Natural Language Processing
3
1
521
67664
Advanced Natural Language Processing
3
2
521
67808
Operating Systems
4
2
521
67818
Applied Competitive Lab in Data Science
3
1
521
67822
Introduction to Deep Learning
4
2
521
67829
Image Processing
4
1
521
67842
Introduction to Artificial Intelligence
5
2
521
67912
Advanced Course in Machine Learning
3
2
521
76558
Algorithms in Computational Biology
4
1
521
76915
Information and Coding in the Brain
4
1
824
52027
Topics in high dimension probability, with application to data science
(NOT TAUGHT THIS YEAR)
3
1
824
52640
TIME SERIES ANALYSIS
(NOT TAUGHT THIS YEAR)
3
1
824
52747
VARIANCE ESTIMATION IN SAMPLING FROM FINITE POPULATION
(NOT TAUGHT THIS YEAR)
3
2
824
52756
SMALL AREA ESTIMATION
(NOT TAUGHT THIS YEAR)
3
2
824
67103
Neural Networks for Images
(NOT TAUGHT THIS YEAR)
3
2
521
67800
Probabilistic Methods in Artifical Intelligence
(NOT TAUGHT THIS YEAR)
4
2
521
67816
Empirical Seminar in Deep Learning
(NOT TAUGHT THIS YEAR)
2
2
521
Elective studies
Course id
Course name
Points
Semester
Teaching program
80035
Active learning workshop to course LINEAR ALGEBRA (2)
0
3
521
Elective studies
.
Course id
Course name
Points
Semester
Teaching program
67508
Foundations of Data Privacy
2
1
521
67842
Introduction to Artificial Intelligence
5
2
521
67978
A Needle in a Data Haystack: Introduction to Data Science
3
2
521
3rd Year
Compulsory studies
.
Course id
Course name
Points
Semester
Until year
Basic course
Teaching program
67731
Convex Optimization and Applications
4
1
3
521
67813
Introductory Workshop to Final Project in Data Science
1
1
3
521
67814
Final Project in Data Science
4
2
3
521
67978
A Needle in a Data Haystack: Introduction to Data Science
3
2
3
521
Total Compulsory Points: 12
Compulsory studies
.
Course id
Course name
Points
Semester
Until year
Basic course
Teaching program
52309
STATISTICAL THEORY FOR CS
4
1
3
824
52311
Modern Statistical Data Analysis
4
2
3
824
52568
STATISTICS LAB
3
3
3
824
Total Compulsory Points: 11
Compulsory elective studies
You must choose at least 14 credits from this list in the years 2nd,3rd. .
Course id
Course name
Points
Semester
Teaching program
52001
Simulations in Statistics
3
2
824
52020
Geometry of information
3
1
824
52028
Time series analysis in the context of climate change
3
2
824
52417
Causal Inference
3
1
824
52418
Markov Chains: Theory and Applications
3
1
824
52419
Introduction to Signal Processing
3
1
824
52542
Generalized Linear Models
3
1
824
52700
Categorical Data Analysis
3
1
824
52710
PRINCIPLES OF EXPT DESIGN & SAMPLING METHODS
3
2
824
52750
Topics in Estimation From Sample From Surveys
3
2
824
52789
Topics in Statistics
3
1
824
52935
Probabilistic Methods in Artifical Intelligence
4
2
824
67455
Introduction to Speech Processing
3
2
521
67506
Databases
5
3
521
67542
Computer Vision 3D
2
2
521
67548
INFORMATION THEORY AND STATISTICAL INFERENCE
3
2
521
67561
ELEMENTS OF INFORMATION THEORY
4
1
521
67564
Bayesian Machine Learning
4
1
521
67658
Natural Language Processing
3
1
521
67664
Advanced Natural Language Processing
3
2
521
67808
Operating Systems
4
2
521
67818
Applied Competitive Lab in Data Science
3
1
521
67822
Introduction to Deep Learning
4
2
521
67829
Image Processing
4
1
521
67842
Introduction to Artificial Intelligence
5
2
521
67912
Advanced Course in Machine Learning
3
2
521
76558
Algorithms in Computational Biology
4
1
521
76915
Information and Coding in the Brain
4
1
824
52027
Topics in high dimension probability, with application to data science
(NOT TAUGHT THIS YEAR)
3
1
824
52640
TIME SERIES ANALYSIS
(NOT TAUGHT THIS YEAR)
3
1
824
52747
VARIANCE ESTIMATION IN SAMPLING FROM FINITE POPULATION
(NOT TAUGHT THIS YEAR)
3
2
824
52756
SMALL AREA ESTIMATION
(NOT TAUGHT THIS YEAR)
3
2
824
67103
Neural Networks for Images
(NOT TAUGHT THIS YEAR)
3
2
521
67800
Probabilistic Methods in Artifical Intelligence
(NOT TAUGHT THIS YEAR)
4
2
521
67816
Empirical Seminar in Deep Learning
(NOT TAUGHT THIS YEAR)
2
2
521
and
.
Course id
Course name
Points
Semester
Teaching program
Elective studies
You may choose up to 4 credits from this list .
Course id
Course name
Points
Semester
Teaching program
67398
Cyber Law
2
1
521
67688
A Guide for Information Revolutionists
2
2
521
Elective studies
.
Course id
Course name
Points
Semester
Teaching program
67508
Foundations of Data Privacy
2
1
521
67842
Introduction to Artificial Intelligence
5
2
521
67978
A Needle in a Data Haystack: Introduction to Data Science
3
2
521
Elective studies
.
Course id
Course name
Points
Semester
Teaching program
52935
Probabilistic Methods in Artifical Intelligence
4
2
521
67200
Computer Architecture
5
2
521
67392
Introduction to Cryptography and Software Security
4
1
521
67468
Future Xreaities - VR/XR - New Technologies and Design for the Metaverse Age
6
9
521
67524
Tutorial Work
2
3
521
67537
Tutorial Work
4
3
521
67538
Tutorial Work
6
3
521
67542
Computer Vision 3D
2
2
521
67543
Interactive Theorem Proving In Lean
2
1
521
67543
Interactive Theorem Proving In Lean
2
1
521
67548
INFORMATION THEORY AND STATISTICAL INFERENCE
3
2
521
67561
ELEMENTS OF INFORMATION THEORY
4
1
521
67564
Bayesian Machine Learning
4
1
521
67594
Introduction to Communication Networks
4
2
521
67607
Advanced topics in cyber security
2
1
521
67678
Introduction to Control with Learning
3
2
521
67684
Interaction 1
3
1
521
67685
Interaction 2
3
2
521
67690
Machine Learning as a Tool for Interactive Products
3
2
521
67692
Interaction Seminar
2
2
521
67731
Convex Optimization and Applications
4
1
521
67818
Applied Competitive Lab in Data Science
3
1
521
67822
Introduction to Deep Learning
4
2
521
67829
Image Processing
4
1
521
67978
A Needle in a Data Haystack: Introduction to Data Science
3
2
521
76553
Computational Genomics
4
2
521
76558
Algorithms in Computational Biology
4
1
521
76558
Algorithms in Computational Biology
4
1
521
76562
3D Data Processing in Structural Biology
3
2
521
80320
DIFFERENTIAL EQUATIONS
4
2
521
80423
MATHEMATICAL LOGIC (1)
4
1
521
80424
MATHEMATICAL LOGIC (2)
3
2
521
80445
ALGEBRAIC STRUCTURES (1)
6
3
521
80446
ALGEBRAIC STRUCTURES (2)
4
2
521
80721
THE PROBABILISTIC METHOD IN COMBINATORICS
3
2
521
67499
Future XReaities 2 - VR/XR - New Technologies and Design for the Metaverse Age
(NOT TAUGHT THIS YEAR)
4
2
521
67503
Workshop in Modern Application Development
(NOT TAUGHT THIS YEAR)
3
1
521
Elective studies
. MSc courses which are open to 3rd year BSc students. The courses may be taught in English.
Course id
Course name
Points
Semester
Teaching program
67455
Introduction to Speech Processing
3
2
521
67508
Foundations of Data Privacy
2
1
521
67509
Online Computing and Decision under Uncertainty
3
1
521
67513
Introduction to Cryptocurrencies
3
2
521
67515
Advanced Topics in Online Privacy and Cybersecurity
3
2
521
67518
ِApplied Data Privacy
2
1
521
67519
Reliability of Distributed Systems
3
1
521
67531
CRYPTOGRAPHY
2
1
521
67531
CRYPTOGRAPHY
2
1
521
67548
INFORMATION THEORY AND STATISTICAL INFERENCE
3
2
521
67562
Dynamics, Networks and Computation
3
2
521
67581
Speech Processing and Recognition
2
1
521
67596
Introduction to Quantum Computation
4
2
521
67601
Research Project: Flight Control
5
3
521
67604
Slam - Video Navigation
4
2
521
67613
Workshop In Communication Networks
5
2
521
67618
Advanced Topics in Machine Learning
2
1
521
67619
Advanced Topics in Machine Learning 2
2
2
521
67664
Advanced Natural Language Processing
3
2
521
67677
Issues on Border of Economics and Computation
2
1
521
67720
Metric Embedding Theory & its Algorithmic Applications
3
1
521
67850
Seminar on Natural Language Processing Applications in Science and Medicine
2
2
521
67866
Bitcoin and Crypto-Currencies Seminar
2
1
521
67879
Lab in Future Realities – Intelligent Technologies & Science for Innovative Art & Design
5
3
521
67895
Algorithms for Supercomputers Advanced Seminar
2
1
521
67912
Advanced Course in Machine Learning
3
2
521
67916
Information Theoretic Methods in Statistics
2
2
521
67939
TOPICS IN LEARNING THEORY
2
2
521
70897
Modeling Environmental Systems
3
1
521
76908
Dynamics of Computation in the Brain
4
2
521
76909
Neural Learning
4
1
521
76915
Information and Coding in the Brain
4
1
521
76921
Human Vision: A Computational Approach
2
2
521
67790
Probabilitically Checkable Proofs
(NOT TAUGHT THIS YEAR)
3
2
521
Scope of studies in the track
Total Point in program Computer Sciences
( 521)
Total Point in program Statistics and Data Science
( 824)
Compulsory
Compulsory in the teaching program
23
Compulsory in the teaching program
87
Compulsory elective
14
Elective in the teaching program
4
3
Total in the teaching program
41
90
Cornerstone Program
4
4
Additional teaching program
41
Total for the degree (minimum)
135
135
years for the degree
3
3
Total percentage of tuition for the degree
150
300
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