PhD (Mathematical and Computational Physics)
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:
-
Deformation, fatigue and fracture of materials
-
Thermal transfer, electromagnetic field and wave propagation phenomenon
-
Fluid and solid mechanics of interaction
-
Application in related environmental (physical) phenomena to develop Ghana (Africa)
-
Structure of the programme
1 Theory (T) = 1 Credit (C) and 4 Practical (P) = 1 Credit (C)
-
Year One (1) Semester One (1)
Core
Code
Course Name
T
P
C
PHYC 751
Algorithm and Optimization of Models
3
4
4
PHYC 753
HPC for Physics
3
4
4
PHYC 755
Advance Numerical Approximation
3
4
4
9
12
12
Electives
Students are to Select One (1) base on their Research Area
PHYC 757
Nonlinear Systems
3
4
4
PHYC 759
Systems Control
3
4
4
PHYS 753
Nanoscience and Technology
3
4
4
PHYG 771
Mathematical Fluid Dynamics
3
4
4
Total
12
16
16
-
Year One (1) Semester Two (2)
Core
Code
Course Name
T
P
C
PHYC 752
Advance MultiScale MultiPhysics Lab
3
4
4
PHYC 754
Artificial Intelligence for Physics
3
4
4
6
8
8
Electives
Students are to Select Two (2) base on their Research Area
PHYA 752
Advanced Space physics
3
4
4
PHYA 754
Radiative Transfer
3
4
4
PHYA 756
Advance Astrophysics
3
4
4
PHYA 758
Advance Cosmology
3
4
4
PHYC 756
Energy Storage Technology
3
4
4
PHYG 772
Physics of Hydrogeology
3
4
4
PHYG 774
Reservoir Characterization Technology
3
4
4
PHYG 776
Oceanography
3
4
4
PHYM 774
Materials Technology
3
4
4
Total
12
8
16
-
Year Two (2) Semester One (1)
Code
Course Name
T
P
C
PHYC 750
Seminar
0
0
0
PHYC 760
Thesis
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
Thesis
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
Thesis
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
Thesis
0
0
0
Total
0
0
0
-
Year Four (4) Semester One (1)
Code
Course Name
T
P
C
PHYC 750
Seminar
0
0
0
PHYC 760
Thesis
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
Thesis
0
0
0
Total
0
0
0