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PhD (Mathematical and Computational Physics)

Submitted by eiyamba on Tue, 08/24/2021 - 15:22

Overview

Ghana needs more researchers and scientists to understand and solve many of the nation’s challenges and issues pertaining to driving an advanced technological development and innovative industrialization. The achievements of these are possible, if we shall intensify our knowledge in multidisciplinary programmes such as Mathematical & Computational Physics to compliment laboratory/field work and experimental prototype. This is a key technology which is bound to increase efficiency and effectiveness in all diverse aspects of our socio-economic and industrial sectors. The Department of Physics has a very strong solid foundation in physics, computing and mathematics. Hence, the Department of Physics is in a good position to drive this single but complex task - improving the knowledge and understanding of students from all aspects of science and engineering with good background in physics, computing and mathematics to solve Ghana’s physical (real life) problems. Finally, the exponential increase in computation in the world today requires Ghana to be prepared and positioned to embrace the fortunes that come our way. There is therefore the need to train well-qualified scientists and technologists to drive industrial and scientific development and technological innovation.

Aims:

Indeed, it is a recognized fact that Ghana (Africa) is the continent most vulnerable to advanced technology, and with the least existing capacity to respond. It is also a known fact that most of the World’s and Africa’s challenges pertaining to advanced technology and innovation are computational physics related. Modelling (Computation Physics) is therefore relevant and important in the achievement of the Sustainable Development Goals (SDGs) and the development process of African countries in general. Much of Africa’s hydrological, geophysical, atmospheric, meteorological and material refinery is technology-fed, and this brings to the fore, the significance of mathematical and computational physics in the realization of the SDG’s in Africa and its overall sustainable development. In fact, the consequences of the lack of modelling on the socio-economic development of individuals, communities, nations and the whole world are topical subject in every walk of life.

In Ghana, and Africa in general, mathematical and computational physics scientists are needed in vital areas of the economy such as materials production, renewable energy generation and storage sector, telecommunication, the water sector, the oil and gas sector, weather forecasting, mining, disaster mitigation and many others. Due to their impacts on human livelihoods, these areas are crucial in achieving the Sustainable Development Goals. Therefore, it is a fact that Ghana desperately needs degree programmes in mathematical and computational physics for training the needed manpower to address the lack of trained specialists in the above mentioned areas.

Objectives

The objective of the PhD degree in Mathematical & Computational Physics is to build human capacity by training to produce skilled postgraduates with world standard qualities in broad span of length and time scale:

  1. Deformation, fatigue and fracture of materials

  2. Thermal transfer, electromagnetic field and wave propagation phenomenon

  3. Fluid and solid mechanics of interaction

  4. Application in related environmental (physical) phenomena to develop Ghana (Africa)

  1. Structure of the programme

1 Theory (T) = 1 Credit (C) and 4 Practical (P) = 1 Credit (C)

Year One (1) Semester One (1)

Code

Course Name

T

P

C

PHYC 553

HPC Programming for Physics

2

4

3

MATH 581

Advanced Analysis & Algebra

2

0

2

 

 

4

4

5

 

 

 

 

 

Students are to Select Two (2) base on their Research Area

PHYC 551

Advanced PDE for Physics

3

0

3

PHYS 551

Theory of Fields

2

0

2

PHYS 553

Topics in Classical and Quantum Mechanics

2

0

2

PHYS 557

Statistical Physics

2

0

2

MATH 597

Stochastic Processes and Differential

3

0

3

PHYM 553

Metallic Materials

2

0

2

PHYC 561

Renewable Energy Resource

3

0

3

PHYG 571

Geophysical Fluid Dynamics

3

0

3

PHYG 573

Applied Hydrogeology

3

0

3

PHYG 575

Reservoir Characterization

3

0

3

 

Total

8,9,10

14

9,10,11

Year One (1) Semester Two (2)

Code

Course Name

T

P

C

PHYC 552

MultiPhysics MultiScale lab

2

4

3

 

 

2

4

3

 

Students are to Select Three (3) base on their Research Area

PHYC 554

Numerical approximation: (Finite: Difference, Element, Volume)

2

4

3

PHYC 556

Machine Learning for Physics

2

4

3

PHYG 572

Fluid – Solid Interaction

3

0

3

PHYC 562

Classical and Quantum Simulation

2

4

3

PHYC 572

Quantum Computing

2

0

2

PHYS 572

Advanced Condensed Matter Physics

3

0

3

PHYG 574

Geophysical Inversion

2

4

3

PHYG 576

Ground Water & Reservoir Simulation

2

4

3

 

Total

8,9,10

8,12,16

11,12

Year Two (2) Semester One (1)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0

Year Two (2) Semester Two (2)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0

Year Three (3) Semester One (1)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0

Year Three (3) Semester Two (2)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0

Year Three (3) Semester One (1)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0

Year Four (4) Semester Two (2)

Code

Course Name

T

P

C

PHYC 750

Seminar

0

0

0

PHYC 760

Research Work

0

0

0

 

Total

0

0

0