UCA-MSc-DSAI

• Grades
  • Recap
  • Year 1
    • Semester 1
    • Semester 2
  • Year 2
    • Semester 3
    • Semester 4

⭐⭐⭐ Please star this repo if you use it (especially extensively) ⭐⭐⭐

Resources for my Master's of Data Science and Artificial Intelligence at the University Côte d'Azur.

Grades

Recap

Year	Semester	Semester Average	Year Average	Master's Average
Year 1	Semester 1	17.48	16.80	15.10
	Semester 2	16.12
Year 2	Semester 3	16.61 (16.36 + 0.25 bonus)	13.39
	Semester 4	10.17

Semester grades are an average of each subject's grade, weighted by the subject's numbers of credits (ECTS).

Year 1

Semester 1

Module	Course	Course grade	Module grade
Refresher	✔️ Basic Probability	19	18.6
	✔️ Basic Algebra for Data Analysis	19
	✔️ Basic Algorithmics	17
	✔️ Basic tools for System Management	20
	✔️ Methods and tools for technical and scienific writing	18
Statistics	✔️ Statistical Inference Theory	15	15
	✔️ Statistical Inference Practice	15
Data Mining	✔️ A general introduction to Machine Learning	11	17
	✔️ Processing large datasets with R	20
	✔️ Technologies for Big Data with Python	20
Data Visualization and Management	✔️ Ethical aspects of data	19.01	18.815
	✔️ Distributed Big Data Systems	19
	✔️ Data visualization	18.5
Workshop and Vulgarization	✔️ Workshop and Vulgarization	19	19

Semester 2

Module	Course	Course grade	Module grade
Statistical Learning	✔️ Statistical Learning Theory	20	18.10
	✔️ Model selection and resampling methods	18
	✔️ Optimization for Data Science	16.31
Machine Learning	✔️ Machine learning algorithms	12.87	15.12
	✔️ Introduction to deep learning	15.50
	✔️ Web of Data	17
Personal Work	✔️ Case Studies	13.5	15.375
	✔️ Internship	16

Year 2

Semester 3

Module	Course	Course grade	Module grade
Compulsory courses	✔️ Bayesian Learning	16	15.75
	✔️ Advanced Deep Learning	17
	✔️ Introduction to Information Theory	16
	✔️ Model-Based statistical Learning	14
Advanced methods in ML	✔️ Research Project	16	16.7
	✔️ Federated Learning - Data Privacy	18.1
Advanced methods in AI	✔️ Deep Learning for computer vision	18	16.83
	✔️ Inverse Problems in image processing	16
	✔️ Advanced Learning: Functional, Mixed and Text data	16.5

Semester 4

Module	Course	Course grade	Module grade
Personal Training	🚧 Internship	TBD	TBD