Fizikus Mérnök BSc kurzus lista (angol)

Physicist-Engineer Responsible: Dr. András Halbritter
Legend
Type, C - compulsory, E - elective modules, O - optional
Grading, e - examination, c - coursework grade, a - audit
# - Proposed semester, *proposed semester of elective courses, @-alternative semester
Subject				Code	Type	Eval	Credit	Hours			Proposed Semester							Prerequisites
								Lect	Prac	Lab	1	2	3	4	5	6	7
COMPULSORY COURSES							154
	Basic Knowledge						6
		Physics Problem Solving Tutorial		BMETE15AP58	C	c	6	0	4	0	#							-
	Physics						34
		Mechanics		BMETE11AP59	C	e	8	4	2	0		#						Physics Problem Solving Tutorial
		Electrodynamics and Optics		BMETE12AP49	C	e	8	4	2	0			#					Mechanics
		Thermodynamics and Statistical Physics		BMETE11AP60	C	e	6	2	2	0				#				Mechanics
		Modern Physics		BMETE15AP59	C	e	8	4	2	0				#				Mechanics
		Solid State Physics		BMETE11AP61	C	e	4	2	1	0					#			Modern Physics
	Mathematics						34
		Vector and Matrix Algebra		BMETE91AP62	C	e	8	4	2	0	#							-
		Calculus		BMETE92AP61	C	e	8	4	2	0	#							-
		Multivariable Calculus		BMETE92AP62	C	e	8	4	2	0		#						Calculus
		Probability theory			C	e	5	2	2	0			#					Multivariable Calculus
		Mathematical Methods in Physics		BMETE11AP58	C	e	5	2	2	0			#					Vector and Matrix Algebra, Multivariable Calculus
	Informatics and Computing						23
		Programming 1		BMEVIAUAA00	C	c	7	2	2	2	#							-
		Programming 2		BMEVIAUAA01	C	c	6	2	0	2		#						Programming 1
		Introduction to Numerical Algorithms			C	c	6	2	0	2			#					Vector and Matrix Algebra, Programming 1
		Introduction to Machine Learning			C	c	4	1	0	2				#				Introduction to Numerical Algorithms
	Applied Science, Technology and Design							47
		Data Collection and Evaluation		BMETE11AP63	C	c	7	0	0	4		#						-
		Measurement Design and Laboratory Exercises		BMETE11AP64	C	c	3	0	0	2			#					Data Collection and Evaluation
		Measurement Techniques		BMETE11AP65	C	e	3	2	0	0			#					-
		Measurement Techniques Laboratory		BMETE11AP66	C	c	5	0	0	3				#				Measurement Techniques, Meas. Design and Lab. Exercises
		Computer Controlled Measurements		BMETE11AP67	C	c	3	0	0	2				#				Programming 1
		Computer Aided Design			C	c	4	1	0	2					#			-
		Electronics			C	c	4	2	1	0				#				-
		Electronics Laboratory			C	c	3	0	0	2					#			Electronics, Data Collection and Evaluation
		Technical chemistry			C	c	3	2	0	0					#			-
		Radiation Protection			C	e	3	2	0	0					#			Modern Physics
		Elective Subjects on Engineering (9 credits from the list below. Asterisked (*) courses can be taken in the Nuclear Technologies and Sustainable Energetics specialization, if not taken here.)			E		3	1	1	0					#
					E		6	3	2	0						#
			Renewable energy sources		E	c	4	3	0	1					*			Thermodynamics and Statistical Physics
			Life cycle assessment		E	e	3	2	0	1						*		-
			Electric power transmission		E	e	4	2	1	0					*			Electronics
			Fluid Mechanics		E	c	6	2	2	1					@	*	@	Mechanics, Multivariable Calculus
			Numerical modelling of fluid flows		E	c	4	1	0	2						*		Multivariable Calculus
			Advanced Thermodynamics		E	c	4	2	1	0					*			Thermodynamics and Statistical Physics
			Control engineering		E	e	5	2	1	1						*		Measurement Techniques, Electronics, Mathematical Methods in Physics
			Industrial control		E	e	4	2	1	0							*	Control Eng., Programming 2, Measurement Techniques
	Management and Communication						10
		Elective Block 1 (2 credits from the list below)			E	c	2	0	2	0	#
			English for University Studies, English B2+		E	c	2	0	2	0	*							-
			Communication Skills, English B2		E	c	2	0	2	0	*							-
			English for Engineers, English B2		E	c	2	0	2	0	*							-
			Professional Writing, English C1*		E	c	2	0	2	0	*							-
			English for Professional Success, English C1*		E	c	2	0	2	0	*							-
		Elective Block 2 (6 credits from the list below, or the asterisked (*) courses in elective block 1, if not taken there)			E	c	6	3	2	0						#
			Economics 1		E	c	2	2	0	0					*		@	-
			Management and Business Economics		E	c	3	2	0	0						*		-
			Cross-cultural Communication, English B2		E	c	2	0	2	0						*		-
			Psychology		E	e	3	2	0	0						*		-
			Ergonomics		E	c	2	2	0	0					@	*	@	-
			The Economic law of the European Union		E	c	3	2	0	0					@	*	@	-
			Corporate law		E	e	3	2	0	0					*		@	-
			Safety Culture		E	c	2	0	2	0						*		-
		Presentation Skills			C	c	2	0	2	0							#	-
THESIS WORK
	Thesis work				C	c	15										#	>=150 credits
INTERNSHIP
	6 weeks internship after semester 6				C	a	0										#	Must have selected specialization
SUMMED CREDITS											31	29	30	30	20	12	17
CONTACT HOURS (lecture)											10	10	12	9	8	6	0
CONTACT HOURS (practice)											12	4	6	5	2	4	2
CONTACT HOURS (laboratory)											2	6	4	7	4	0	0
CONTACT HOURS (TOTAL)											24	20	22	21	14	10	2
NUMBER OF EXAMS											2	2	4	2	2	0	0
NUMBER OF COURSEWORK GRADES											3	2	2	4	3	1	1
OPTIONAL COURSES (from the list below, or any BME course)							10								0	6	4
		Nobel Prize Physics in Everyday Application – Laboratory Exercise		BMETE11AP68	O	c	3	0	2	0	#							-
		Physicist-Engineer Project Work 1		BMETE15AP62	O	c	3	0	2	0	#							-
SPECIALIZATIONS							31								10	12	9
	Nanotechnology and Quantum Applications,																	Specialization selection criteria: >=90 credits, Modern Physics
TOTAL NUMBER OF CREDITS							210				31	29	30	30	30	30	30

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Physicist-Engineer - Nanotechnology and Quantum Applications Specialization

Specialization Responsible: Dr. Szabolcs Csonka

Legend

Type, C - compulsory, E - elective modules, O - optional

Grading, e - examination, c - coursework grade, a - audit

# - Proposed semester, *-propsed semster of courses in elective block, @-alternative semester

Subject

Code

Type

Eval

Credit

Hours

Proposed Semester

Prerequisites

Lect

Prac

Lab

1

2

3

4

5

6

7

COMPULSORY COURSES

18

Advanced Physics Course (2 subjects from the courses below)

E

e

6

2

0

0

@

#

Advanced Quantum Physics

FI-EFT

E

e

3

2

0

0

*

Modern Physics

Introduction to Semiconductor Physics, Nanophysics and Magnetism

FI-FT

E

e

3

2

0

0

*

Solid State Physics

Optics

FI-AFT

E

e

3

2

0

0

*

Electrodynamics and Optics

Nanotechnology and Quantum Applications Specialization Laboratory 1

FI-FT

C

c

6

0

0

4

#

Measurement Design and Laboratory Exercises

Nanotechnology and Quantum Applications Specialization Laboratory 2

FI-FT

C

c

6

0

0

4

#

Nanotechnology and Quantum Applications Specialization Laboratory 1

ELECTIVE COURSES

42

Quantum Information Processing

Introduction to Quantum Computing and Communications

VIK

E

c

2

2

0

0

#

@

Vector and Matrix Algebra, Modern Physics

Quantum Information Processing

FI-EFT

E

e

3

2

0

0

#

Modern Physics

Advanced Quantum Mechanics Problem Solving

FI-FT

E

c

3

0

2

0

#

Modern Physics, parallel: Adv. Quant. Mechanics

Artificial Inteligence in Data Science

FI-FT

E

c

5

1

2

0

@

#

Introduction to Numerical Algorithms

Nanotechnology, Semiconductor Technology, Materials Science

Advanced Semiconductor Devices

FI-FT

E

e

3

2

0

0

#

Solid State Physics

Advanced Micro and Nanoscale Material Processing and Analysis Techniques

FI-AFT

E

c

3

2

0

0

#

Modern Physics

Spectroscopic Methods in Material Science

FI-AFT

E

e

3

2

0

0

#

@

Modern Physics

Chemical methods in nanotechnology

FI-FT

E

e

3

2

0

0

@

#

Technical chemistry

Optics and Laser Technology

Optics problem solving

FI-AFT

E

c

2

0

2

0

#

@

Electrodynamics and Optics, parallel: Optics

Laser technology

FI-AFT

E

c

3

2

0

0

#

@

Electrodynamics and Optics

Microscopy

FI-AFT

E

c

3

2

0

0

#

Electrodynamics and Optics

Optical Metrology

FI-FT

E

e

3

2

0

0

#

Electrodynamics and Optics

Further Elective Courses

Measurement Control Project Work in LabVIEW Environment

FI-FT

E

c

3

0

0

2

#

Programming 1

Data Science Aided Measurements

FI-FT

E

c

3

0

0

2

#

Intr. to Machine Learning, Meas. Tech. Laboratory

Physicist-Engineer - Nuclear Technologies and Sustainable Energetics Specialization

Specialization Responsible: Szieberth Máté

Legend

Type, C - compulsory, E - elective modules, O - optional

Grading, e - examination, c - coursework grade, a - audit

# - Proposed semester, *-propsed semster of courses in elective block, @-alternative semester

Subject

Code

Type

Eval

Credit

Hours

Proposed Semester

Prerequisites

Lect

Prac

Lab

1

2

3

4

5

6

7

COMPULSORY COURSES

12

Nuclear technology and sustainable energies laboratory 1

C

c

6

0

0

4

#

Modern Physics, Measurement Techniques, Meas. Design and Lab. Exercises

Nuclear technology and sustainable energies laboratory 2

C

c

6

0

0

4

#

Nuclear technology and sustainable energies laboratory 1

ELECTIVE COURSES (The asterisked courses (*) from the Elective Subjects on Engineering elective module in the main curriculum can be also taken if not taken there)

19

Sustainable Development and Energetics

BMETE80AF06

E

c

3

2

0

0

#

Modern Physics

Radioactive Waste Management

BMETE80AF10

E

c

3

2

0

0

#

Radiaton Protection

Radiochemistry and Nuclear Chemistry

BMETE80AF32

E

c

4

3

0

0

#

Radiaton Protection

Introduction to CFD Methods

BMETE80AF37

E

c

4

1

0

2

#

Multivariable Calculus

Monte Carlo Methods

BMETE80AF45

E

e

4

2

1

0

#

Probability theory

Radiation Detection and Measurement

BMETE80AF42

E

e

3

2

0

0

#

Modern Physics, Measurement Techniques

Medical Imaging Systems

BMETE80AF35

E

c

3

2

0

0

#

Modern Physics, Measurement Techniques

Introduction to Fusion Plasma Physics

BMETE80AF36

E

e

3

2

0

0

#

@

Multivariable Calculus, Modern Physics

Nuclear Safety

BMETE80AF30

E

c

3

2

0

0

#

@

Modern Physics

Thermal Hydraulics of Nuclear Power Plants

BMETE80AF31

E

c

5

3

1

0

#

@

Modern Physics, Thermodynamics and Statistical Physics

Reactor Physics

BMETE80AF33

E

e

5

3

1

0

#

@

Modern Physics

Physicist-Engineer - Scientific Data Processing Specialization

Specialization Responsible: Dr. János Török

Legend

Type, C - compulsory, E - elective modules, O - optional

Grading, e - examination, c - coursework grade, a - audit

# - Proposed semester

Subject

Code

Type

Eval

Credit

Hours

Proposed Semester

Prerequisites

Lect

Prac

Lab

1

2

3

4

5

6

7

COMPULSORY COURSES

21

Introduction to Experimental Data Handling

C

e

3

2

0

0

#

Probability theory

Complex networks

C

e

4

2

1

0

#

Probability theory

Introduction to Data Science

C

e

4

3

0

1

#

Intr. to Exp. Data Handl., Intr. to Machine Learning, Compl. Netw.

Programming Exercises for Data Science

C

c

2

0

1

0

#

parallel: Introduction to Data Science

Data Science Aided Measurements

C

c

3

0

0

2

#

Intr. to Machine Learning, Meas. Tech. Laboratory

Artificial Inteligence in Data Science

C

c

5

1

2

0

#

Introduction to Machine Learning

ELECTIVE COURSES

10

Data-driven and agent-based modeling

E

c

4

1

0

2

#

Intro. to Machine Learning, Intro. to Exp. Data Handling

Monte Carlo Methods

E

e

4

2

1

0

#

Probability theory

Measurement Control Project Work in LabVIEW Environment

E

c

3

0

0

2

#

Programming 1

The Fundaments and Applications of Finite Element Modeling

E

c

3

0

0

2

#

Electrodynamics and Optics, Multivariable Calculus

Medical Imaging Systems

E

c

3

2

0

0

#

Modern Physics, Measurement Techniques