Digital chemistry

Digital chemistry

CHEMISTRY

Course of education

2025 – 2027

Specialisation

Digital Chemistry

Type of study

Second-cycle studies / Master’s study

Mode of study

Full-time studies

Study profile

academic

During each semester, the student should obtain a minimum of 30 ECTS points from obligatory and optional classes (elective)

 

SEMESTER 1

subject

lecture

auditorium classes

laboratory classes

TOTAL

E/P

ECTS

Education health and safety (e-learning; extended course)

 

5

 

5

PWN

0

Repetitory in mathematics

 

30

 

30

P

3

Repetitory in general and inorganic chemistry

 

30

 

30

P

3

Repetitory in organic chemistry and biochemistry

 

30

 

30

P

3

Introduction to digital chemistry

10

 

 

10

P

1

Introduction to Python programming – lecture

15

 

 

15

E

2

Introduction to Python programming – laboratory classes

 

 

45

45

P

3

Quantum chemistry in practice – lecture

30

 

 

30

E

3

Quantum chemistry in practice – laboratory classes

 

 

45

45

P

3

Exploratory analysis of multidimensional chemical space – lecture

30

 

 

30

E

3

Exploratory analysis of multidimensional chemical space – laboratory classes

 

 

45

45

P

4

Foreign language III

 

30

 

30

P

2

In the first semester, students complete a compulsory library course

SEMESTER 1

85

125

135

345

3

30

 

SEMESTER 2

subject

lecture

auditorium lasses

laboratory classes

TOTAL

E/P

ECTS

Introduction to R programming – lecture

15

 

 

15

E

2

Introduction to R programming – laboratory classes

 

 

45

45

P

3

Molecular mechanics & dynamics, coarse-grain modeling – lecture

30

 

 

30

E

3

Molecular mechanics & dynamics, coarse-grain modeling – laboratory classes

 

 

45

45

P

3

Specialization lecture*

30

 

 

30

P

3

Graduate laboratory*

 

 

180

180

P

12

Facultative course I

 

 

30

30

P

2

Facultative course II

 

30

 

30

P

2

SEMESTER 2

75

30

300

405

2

30

YEAR I

160

155

435

750

5

60

 

SEMESTER 3

subject

lecture

auditorium lasses

laboratory classes

TOTAL

E/P

ECTS

Machine learning in chemistry – lecture

30

 

 

30

E

3

Machine learning in chemistry – laboratory classes

 

 

45

45

P

3

Interpersonal communication

15

 

 

15

P

1

The activities of the company in contemporary environment

30

 

 

30

P

2

MSc laboratory course*

 

 

180

180

P

10

MSc seminar

 

30

 

30

P

4

Monographic lecture*

30

 

 

30

P

3

Facultative course III

 

 

30

30

P

2

Facultative course IV

 

30

 

30

P

2

SEMESTER 3

105

60

255

420

1

30

 

SEMESTER 4

subject

lecture

auditorium lasses

laboratory classes

TOTAL

E/P

ECTS

Economic activity law

30

 

 

30

P

2

Introduction to statistics for life sciences

15

 

 

15

P

1

 

 

30

30

P

2

MSc laboratory course*

 

 

190

190

P

10

MSc seminar*

 

30

 

30

P

4

Monographic lecture*

30

 

 

30

P

3

Facultative course V

 

 

30

30

P

2

Facultative course VI

 

30

 

30

P

2

Elective subjects

60

60

P

4

MSc exam

E

 

SEMESTER 4

135

60

250

445

1

30

YEAR II

240

120

505

865

2

60

E – exam

P – pass with note

PWN – pass without note

* classes conducted at the Department, where the student is doing his master’s thesis

 

Second-cycle studies  end with master’s examination and obtaining the professional title of master’s degree.

 

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Data publikacji: środa, 28. Maj 2025 - 11:56; osoba wprowadzająca: Andrzej Nowacki Ostatnia zmiana: środa, 28. Maj 2025 - 11:57; osoba wprowadzająca: Andrzej Nowacki