Syllabus

Compulsory

Q1:September-January Q2:February-June

Acronym	Complete name	Open 25-26
ADSDB	Algorithms, Data Structures and Databases	Q1
DW	Data Warehousing	Q1
MVA	Multivariate Analysis	Q1
PODS	Process-Oriented Data Science	Q1
SIM	Statistical Inference and Modelling	Q1

BDM	Big Data Management	Q2
ML	Machine Learning	Q2
MUD	Mining Unstructured Data	Q2
SDM	Semantic Data Management	Q2

Acronym	Complete name	Open 25-26
ADM	Algorithmics for Data Mining	Q2
AMA	Advanced Multivariate Analysis	Q1
AML	Advanced Machine Learning	Q1
ASM	Advanced Statistical Modelling	Q1
BSG	Bioinformatics and Statistical Genetics	Q1
CCBDA	Cloud Computing and Big Data Analytics	Q2
CSN	Complex and Social Networks	Q1
CV	Computer Vision	Q2
DAKD	Data Analysis and Knowledge Discovery	Q1
DEDS	Debates On Ethics of Data Science	Q2
DMT	Data Management for Transportation	Q2
DSIGE	Software Development for Geographic Ans Spacial Information	Q2
HLE	Human Language Engineering	Q1
I2P	Interdisciplinary Innovation Project	Q2
I2RM3	Introduction to Research	Q1, Q2
I2RM6	Introduction to Research	Q1, Q2
IQL	Introduction to Quantitative Linguistics	Q2
IRRS	Information Retrieval and Recommender Systems	Q1
MLOPS	Machine Learning Systems in Production	Q1
OTDM	Optimization Techniques for Data Mining	Q1
TEB	Techniques and Tools for Bioinformatics	Q2
TMIRI	Techniques and Methodology of Innovation and Research in Informatics	Q1, Q2
VBP	Viability of Business Projects	Q2
VD	Data Visualization	Q2

Q1:September-January Q2:February-June