School of Physical and Mathematical Sciences College of Basic and Applied Sciences University of Ghana, Legon Short Courses

DEPARTMENT OF CHEMISTRY

SHORT COURSE IN QUALITY CONTROL AND ASSURANCE IN PHARMACEUTICAL AND HERBAL PRODUCTS.

The Department of Chemistry of in the University of Ghana is organizing a short course on Quality Control and Assurance in Pharmaceutical and Herbal Products.

The course aims to equip stakeholders with knowledge and skills in pharmaceutical and herbal product manufacturing processes, including sampling, processing, distribution and quality assurance. The course will also include innovation, research, standardization and regulations on these products.

 

Objectives

The general goal of this course is to provide fundamental knowledge in good manufacturing practices among pharmaceutical and herbal industry practitioners and consumers who want to arm themselves with knowledge in these industries. At the end of the course, participants would be able to:

  • Identify substandard products using visuals and other organoleptic processes.
  • Explain the principles of GMP in the drugs and food industry.
  • Identify factors that lead facilitate food and drug spoilage.
  • Acquire skills in basic Quality Control (Q.C.) and Quality Assurance (Q.A.).
  • Analyze and interpret data from advanced instrumental methods in Q.C. and Q.A.
  • Develop standard operating procedures for their operations.

 

Target Groups:

Pharmacists, pharmacy assistants, technicians and technologists, pharmaceutical manufacturers, herbal medicine practitioners, pharmaceutical and herbal medicine regulators, and quality control personnel in the manufacturing industry.

 

Course Description

The course is designed to provide a comprehensive knowledge of all relevant Q.A. and Q.C. procedures needed for the manufacture of quality medicinal products. It would involve the study of the World Health Organisation (WHO) total quality management in pharmaceutical and herbal manufacture, practical applications of modern technologies used in quality control and assurance, hazard and risk analysis of pharmaceutical and herbal products, packaging, good distribution practices and the regulation.

 

Duration/Mode of Instruction

The course will be delivered over a period of four (4) weekends through engaging face-to-face lectures and practical sessions.

 

Course Fee: GHS 1,600 per participant

The full course fee should be paid a week before the start of the course.

 

Bank details:

Account Name: College of Basic and Applied Sciences

Bank Account Number: 0160094485315601

Branch: University of Ghana, Legon

 

For further information on the courses, invoices and any other enquiries, kindly contact,

The Department of Chemistry

P.O. Box L.G. 56

University of Ghana, Legon.

Telephone: 0559553796

Email: chemdept@ug.edu.gh

 

Course start date: 5th November, 2022.

Deadline for Application: 14th October 2022.

 

DEPARTMENT OF EARTH SCIENCE

SHORT COURSE IN APPLIED NUMERICAL GROUNDWATER MODELING: FUNDAMENTAL ASPECTS

The Department of Earth Science in the University of Ghana is organizing a short course in: Applied Numerical Groundwater Modeling: Fundamental Aspects

Objectives

The goal of this course is to provide detailed, step-by-step training on applied groundwater modeling to meet the needs of groundwater managers, practicing hydrogeologists, environmental scientists/ managers, and policy makers, amongst others. The specific objectives of the course are to provide practical training on the:

  • fundamental principles and governing laws on groundwater modeling;
  • data requirements for a reasonably good numerical model;
  • conceptualization of a domain and its relevance towards developing a good model;
  • model development process – finite difference and finite element approaches;
  • model calibration and validation processes and sensitivity analysis;
  • scenario development and analysis.

 

Target Groups

The course is designed to meet the needs of professionals in the following broad areas:

  • Environmental Science/management;
  • Mining and mineral exploration;
  • Hydrogeology and (ground) water resources management;
  • Policy-makers in government ministries, Non-Governmental Organizations;
  • Environmental/Civil Engineering;
  • Related disciplines.

 

Course Description and Content

Module 1 – Fundamental Principles

This module will treat the fundamental principles and the relevance of numerical models. It will focus on the governing physical equations, the assumptions, and the myths about groundwater modeling. The specific topics to be treated include:

  • Overview of basic concepts and principles of groundwater flow;
  • The purpose of modeling;
  • Categories of models and their applications;
  • Governing Equations for applied groundwater modeling, and assumptions;
  • Limitations of numerical models;
  • Ethics of modeling;
  • Modeling Workflow.

 

Module 2 – Conceptual Model Development

It is a known fact in modeling that a numerical model is as good as the conceptual model from which it has been developed. A good numerical model must have been properly conceptualized based on sound field data. This module will treat the rudiments of conceptual model development, the data requirements, and the limitations. The following topics will be treated:

  • Data requirements for developing a representative conceptual model;
  • Components of a numerical model;
  • Conceptualizing model domain boundaries;
  • Developing the hydrostratigraphy from various geological and geological datasets;
  • Conceptualizing recharge and other sources;
  • Characterization of relationship between surface and subsurface flow components;
  • Characterization of various sink types;
  • Conceptualizing unique geological structures.

 

Module 3: Mathematical Foundation and the Numerical Code

All numerical models are based on a set of equations formulated on the basis of physical principles. In the case of numerical groundwater models, the central principle is the Darcy law. Understanding the basic mathematical foundation of a numerical model and the related assumptions is critical to proper selection of an appropriate numerical code for a particular application. Knowing the mathematical basis of the numerical codes is an important component of an applied groundwater modelling course.  This module will therefore treat:

  • Derivation of governing equations; assumptions;
  • Boundary conditions – mathematical formulation and assumptions underlying the main boundary condition types;
  • Finite difference codes;
  • Finite element codes;
  • Code selection;
  • Code Execution;
  • Common Mistakes/Errors.

 

Module 4: Numerical Model Development

Having developed a good conceptual model based on the best available data, the next stage is to convert the conceptual model into a numerical model. Understanding the various available codes and their underlying assumptions, and clearly understanding the objectives of the modelling endeavor are critical towards developing a good numerical model from a good conceptual model. The Modules 1, 2, and 3 are essential pre-requisites to this module. This module will entail the following components:

  • Spatial discretization
  1. Two dimensional models
  2. Three dimensional models
  3. Setting model layers

 

  • Selecting and implementing appropriate boundary conditions
  1. Two main types of boundaries: physical and hydraulic boundaries
  2. Head – dependent boundary conditions
  3. Specified head boundary conditions
  4. Specified flux boundary conditions
  5. Determining local area boundary conditions based on a regional model

 

Module 5: Model Calibration and Validation

It is only calibrated and validated models that can be used for scenario analysis to facilitate decision making processes. A model that has been set up (under steady state or transient state conditions) must be calibrated by adjusting the data of the input parameters until the model computer data satisfactorily matches the field monitored data of the hydraulic head, flow etc. This module will treat:

  • Material property parameters
  • Hydrologic parameters
  • Assigning parameters to model layers
  • Calibration targets
  • Manual calibration
  • Parameter Estimation
  • Stabilizing parameter estimation
  • Steady state calibration
  • Transient state calibration
  • Model validation

 

Module 6. Forecasting and Uncertainty Analysis

The objective of most modelling assignments is for forecasting the impacts of various management scenarios together with natural fluctuations in climatic conditions. In the process of undertaking model forecasts, it is important to assess the level of uncertainty so that the results are placed in the appropriate context. The components of this module are:

  • Setting up model forecasting scenarios
  • Basic Uncertainty analysis
  • Uncertainty analysis using multiple conceptual models
  • Reporting model uncertainty as part of the forecasting
  • Evaluating model forecasts

 

Mode of Instruction

The course will be taught in 6 inter-related modules. Patrons may choose modules that meet their specific needs. However, it is strongly recommended that patrons subscribe to all 6 modules in order to achieve optimum benefits from the training. The Department of Earth Science has, through several external funded projects, has procured the requisite software for practical training on all aspects of numerical groundwater modeling. A blended approach of virtual and physical meetings will used to achieve the objectives of each of the models.

 

Entry Requirements

A background in Geology, Earth Science, Civil Engineering, or related fields.

Duration

Six full weekends

Course Fee: GHS 3,000.00

The full course fee should be paid a week before the start of the course.

 

Bank details:

Account Name: College of Basic and Applied Sciences

Bank Account Number: 0160094485315601

Branch: University of Ghana, Legon

 

For further information on the courses, invoices and any other enquiries, kindly contact,

The Department of Earth Science

University of Ghana

P.O. Box LG 58

Legon.

 

Tel: 0244901486 / 0302514041

Email: earthscience@ug.edu.gh

Deadline for Application: 22nd July, 2022

Course Start Date: 13th August, 2022

 

DEPARTMENT OF EARTH SCIENCE

SHORT COURSE IN APPLIED GEOPHYSICS

The Department of Earth Science of the University of Ghana is organizing a short course in Applied Geophysics.

Objectives

The goal of this course is to provide detailed, step-by-step training in applied geophysics to meet the needs of geophysicists in general, and particularly non-geophysicists who utilises the principles of geophysics in their day-to-day activities. These include exploration and engineering geologists, hydrogeologists, environmentalists, and policy-makers, amongst others. The specific objectives of the course are to provide practical training on the:

  • fundamental principles of various methods in applied geophysics.
  • requirements for geophysical data acquisition.
  • routine stages in geophysical data processing and analysis.
  • geophysical data modelling.
  • geophysical data interpretation.
  • remote sensing and geographic information system skills.

 

Target Groups

The course is designed to meet the needs of the following professionals:

  • Mining and Mineral Exploration Geologists
  • Engineering Geologists and Hydrogeologists
  • Environmentalists, Archaeologists and Forensic Scientists, and
  • Professionals in related disciplines, including graduates wishing to improve on their practical knowledge in Applied Geophysics.

 

Course Description and Content

Module 1 – Frameworks of Typical Geophysical Surveys

 

Course Description

Geophysics plays a very important role in helping solve resource exploration, environmental, or geotechnical problems. This course outlines a seven-step framework required for the effective application of geophysics and, the corresponding due diligence considered necessary for successful execution of typical geophysical surveys.

 

Course Outline

This module relating to the frameworks of typical geophysical surveys will cover General Geophysical Projects Setups, Roles of Physical Property Contrast, Types of Surveys, Routines of Data Processing, Fundamentals of Data Interpretation and Synthesis.

 

Course Objectives

By the end of the course, it is anticipated that participants will be able to:

  • Appreciate project objectives,
  • Understand how physical property contrasts control geophysical applications.
  • Know survey types
  • Understand the process of generating good quality field data
  • Acquire the skills of data filtering ad modelling
  • Translate acquired geophysical datasets into meaningful information for client’s assimilation.

 

Module 2 – Electrical Resistivity, Induced Polarization and Electromagnetic Methods

Course Description

The course gives a comprehensive overview of Electrical Resistivity, Induced Polarization, and Electromagnetic Methods with emphasis on understanding the guiding principles, proper data acquisition and processing, and finally, interpretation based on geologic concepts.

 

Course Outline

  • The emphasis of the course will be based on best field practice for data acquisition; Data Processing and Analysis; Interpretation for each of the methods in this model

 

Course Objectives

By the end of the course, it is anticipated that participants will be able to:

  • Understand the fundamental principles governing the Electrical Resistivity, Induced Polarization and Electromagnetic methods; and identify the advantages, limitations and challenges associated with each of these methods.
  • Generate appropriate models for data analysis necessary for addressing relevant problems associated with groundwater exploration for the purpose of borehole siting and water table mapping; mineral exploration, foundation investigation, landfill sites assessment as well as ground conductivity mapping
  • Integrate results from the different methods for effective characterization of the subsurface.

 

Module 3 – Gravity, Magnetics and Magnetotellurics  

Course Description

This module introduces participants to how the natural fields of the earth can be used particularly in mineral exploration. Gravity and Magnetics data analysis are essential and cost-effective components of an integrated geoscience interpretation project, providing crucial insight into participants areas of interest in order to help minimise exploration risk. Magnetotellurics (MT) also uses natural time variations of the earth’s magnetic and electric fields to measure the electrical resistivity of the subsurface. Measuring the electrical resistivity of rocks and minerals provides the means to understand geological structures and processes which can be explored in the areas of resistivity assessment of Earth materials and associated factors such as rock composition, porosity and permeability as well as rock fluid composition.

 

Course Outline

  • Spanning over a five-weekend duration, the course will comprise a series of lectures on data acquisition, data processing and interpretation as well as outdoor-field sessions.

 

Course Objectives

This module provides the participants with the skills to:

  • Choose the correct data or acquisition programme to suit their requirements
  • Understand the fundamental links between geology and gravity, magnetic and MT responses.
  • Use gravity and magnetic data to create advanced derivatives to address specific problems. principles governing the various geophysical methods as well as the best practice guidelines for various geophysical investigations.
  • Apply the techniques learnt in a balanced and integrated exploration workflow.

 

Module 4 – Seismic Refraction and Multichannel Analysis of Surface Waves

Course Description

The Seismic Refraction (SR) and Multichannel Analysis of Surface Waves (MASW) methods play significant roles in assessing the suitability of the subsurface earmarked for engineered structures such as roads, dams, bridges, multi-storey buildings, as well as the delineation of groundwater table and the mapping of weathered-fresh rock layer interface, etc., by providing information on soil/rock competencies, faults/fractures and depths. The module introduces the most important theoretical and practical aspects of both methods for investigating the surface particularly for the purpose of foundation investigations with emphasis on understanding the guiding principles, proper data acquisition and processing, and finally interpretation based on geologic concepts.

 

Course Outline

  • This module is designed to take participants through the rudiments of good quality data acquisition, hands-on training in seismic software data processing and modelling.

 

Course Objectives

By the end of the course, it is anticipated that participants will be able to:

  • Recognize and distinguish between body and surface wave components on raw seismic data
  • Perform basic raw data analysis and processing to delineate subsurface seismic properties such as velocities and depths
  • Generate dispersion curves from surface waves record,
  • Evaluate the applicability of the two methods for shear waves velocities and elastic moduli estimation.
  • Produce 2D seismic tomography models for subsurface geological interpretation.

 

Module 5 -Borehole Geophysics

Course Description

The course gives a comprehensive overview of borehole geophysics with applications for the groundwater, mineral exploration, and petroleum industries. The course will look at the measurement of various parameters downhole and guide participants through geologic based interpretations of the data.

Course Objectives

By the end of the course, participants shall be able to:

  • Design and carry out appropriate borehole geophysical campaigns especially for the groundwater and mineral exploration sectors.
  • Understand the geological application of various logs, i.e., SP, resistivity, and gamma
  • Identify lithologies using an integrated interpretation approach
  • Correlate adjacent wells and interpret the depositional environments
  • Create a fence diagram or a 2D diagram of the subsurface based on borehole log interpretations

Course Outline

  • Introduction and designing a well logging data collection campaign
  • Acquisition, processing, and analyses of data from lithology logs (SP, Gamma, etc.) and Resistivity logs (Induction logs, etc.)
  • Interpretation of logs (lithologic and stratigraphic interpretations, well log correlations, etc.).
  • Application of well log data and Case Histories

 

Module 6 – Remote Sensing & GIS Applications in Earth Science

Course Description

Remote Sensing and Geographic Information System technology have in recent times become an integral part of earth science exploration activities. This module integrates the use of digital technology with an earth science perspective and aims at introducing participants with earth sciences backgrounds to remote sensing and GIS applications using an open-source GIS programme, Q-GIS. Participants will study the geological environments and mineral resources using satellite image analysis and its geological applications including:

  • GIS as a decision-making tool e.g., for vulnerability assessment.
  • Satellite, e.g., Landsat data analysis.
  • Image enhancement and classification.
  • Information extraction.

 

Course Outline

  • Introduction to the components of GIS.
  • GIS data capture, management, analysis, and transformation.
  • Map creation and, data display and analyses (vector, raster, geological, geochemical, hydrogeological, geophysical, etc.)
  • Satellite remote sensing fundamentals, Imagery types and analysis.
  • Introduction to Q-GIS.
  • Landsat image processing, classification, and information extraction in Q-GIS.
  • Integration of remote sensing data and GIS for groundwater vulnerability studies and mineral prospectivity mapping.

 

Course Objectives

By the end of the course, it is anticipated that participants will be able to:

  • Generate spatial and attribute data.
  • Perform basic analysis on and transform of any geospatial based dataset.
  • Understand the structure of earth science database system.
  • Understand the concept of GIS as a decision management system
  • Perform fundamental analysis and make basic interpretation of Landsat satellite image.
  • Conduct decision making analysis from remote sensing and GIS datasets.

 

Mode of Instruction

The course will be taught in six different modules, grouped as Frameworks of Typical Geophysical Surveys, Electrical Resistivity, Induced Polarization and Electromagnetic Methods, Gravity, Magnetics and Magnetotellurics, Seismic Refraction and Multichannel Analysis of Surface Waves, Remote Sensing & GIS Applications in Earth Science and Borehole Geophysics. The course will mostly be practical oriented, with participants spending most of the time in the field and discussing various case studies and how each method can/ cannot be applied.

 

Entry Requirements

A background in Geology, Earth Science, Civil Engineering, or related fields.

 

Duration

Eight full weekends

 

Course Fee: GHS 5,000.00

The full course fee should be paid a week before the start of the course.

Bank details:

Account Name: College of Basic and Applied Sciences

Bank Account Number: 0160094485315601

Branch: University of Ghana, Legon

 

For further information on the courses, invoices and any other enquiries, kindly contact;

The Department of Earth Science

University of Ghana

P.O. Box LG 58

Legon.

 

Tel: 0244901486 / 0302514041

Email: earthscience@ug.edu.gh

 

Deadline for Application: 22nd July, 2022

Course Start Date: 13th August, 2022

 

DEPARTMENT OF PHYSICS

SHORT COURSE IN MICROBIAL BIOENERGETIC AND BIOGAS PRODUCTION

The Department of Physics of the University of Ghana is organizing a short course in Microbial Bioenergetics and Biogas Production

 

Objectives

This short course will allow stakeholders in the waste-management space to learn about methods used to design, construct, and operate anaerobic bioreactors as a waste-management strategy and for business creation.

 

Target Groups

Stakeholders in the waste management space.

 

Course Description

In this course, basic understanding of thermodynamics has been applied to microbial responses to environmental change and anaerobic digestion for biogas production. Knowledge gained by participants can be applied to the design, construction and operation of anaerobic bioreactors, as well as business creation in the renewable energy and waste management spaces.

 

Course Content

  1. Overview of the Department of Physics
  2. Renewable energy technologies: the case of biomass
  3. Introduction to bioenergetics
  4. Forms of energy and energy transformation in living systems
  5. Thermodynamics of biological systems
  6. Microbes and how they produce energy
  7. Anaerobic digestion and biogas systems
  8. Design of biogas digesters (small and medium sizes)
  9. Characteristics, properties and applications of biogas
  10. Value proposition of biogas: Sanitation, Energy, Carbon Credit And Waste Management
  11. Introduction to entrepreneurship: creation & management of small business
  12. Workplace communication skills

 

Mode of Instruction

In-person classroom interaction and laboratory sessions

 

Entry Requirements

Basic understanding of SHS General Science or Equivalent

 

Duration

4 days, 4hours/ day.

Monday – Thursday, 9.00 AM – 2.00 PM with a 1 hour break.

 

Course Fee: GHS 500 (Accommodation and Feeding Not Included)

The full course fee  should be paid a week before the start of the course.

Bank details:

Account Name: College of Basic and Applied Sciences

Bank Account Number: 0160094485315601

Branch: University of Ghana, Legon

 

For further information on the courses, invoices and any other enquiries, kindly contact,

The Department of Physics

P.O. Box LG 68,

University of Ghana, Legon.

Tel: 027 718 7964

Email: physics@ug.edu.gh

 

Deadline for Application: September 16, 2022

The Course is scheduled for October 24, 2022 to October 27, 2022

 

DEPARTMENT OF STATISTICS AND ACTUARIAL SCIENCE

SHORT COURSE IN STATISTICS

The Department of Statistics and Actuarial Science in the University of Ghana is organizing a short course in  Statistics.

Objectives

To equip participants with the statistical know-how to be able to make effective decisions using inference from data.

 

Target Groups

  • Industry: Managers, Decision Makers, Leaders
  • Academia: Lecturers/Researchers/Students
  • Other Professionals

 

Course Description

This short course is designed to equip participants to understand the importance of statistical thinking and to make use of it in decision making especially under uncertainties. Also, it is designed to equip participants to be able to use data and basic statistical methods to solve many real-world problems. To do this, the course is structured to take the participant on a tour through descriptive to Inferential Statistics. The participants can use the acquired theoretical skills to display, analyse and explore relationships.

 

By completing this course, participants will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems.

 

Course Content

  • Introduction to Statistics: Data and Types, Method of Data Collection
  • Survey Designs (Sample Size, Methods, etc.)
  • Descriptive Statistics: Numerical And Graphical Displays
  • Introduction to SPSS for Statistical Analysis
  • Introduction to Statistical Testing and Decision Making (test on means, proportions, etc.)
  • Correlation and Regression Analysis (Descriptive and Inferential aspects)
  • Categorical Data Analysis: Contingency coefficients, Chi-square test, etc.      

 

Duration: Five (5) Weekends, 9th July – 6th August, 2022

                 Saturdays:  9:00 AM – 5:00 PM

                 Sundays:     2:00 PM – 5:00 PM

 

Venue: Department of Statistics & Actuarial Science, University of Ghana.

Course Fee:

  • In Person: GH¢1,500.00
  • Online Participants: GH¢1,200.00.

 The course fee includes snacks, lunch, course materials and certificate of participation.

 

REQUIREMENTS: Participants are required to come along with their laptops for installation of the required programs for the course.

 

APPLICATION FORMS

Application forms can be filled online using the link below

https://forms.gle/waPxew2TJRTPufTv5

         

The full course fee  should be paid a week before the start of the course.

 

Bank details:

Account Name: College of Basic and Applied Sciences

Bank Account Number: 0160094485315601

Branch: University of Ghana, Legon

 

For further information on the course, invoices and any other enquiries, kindly contact,

Dr. Richard Minkah 

Tel: 055 700 7459 / 020 380 8670 / 054 453 2790

Email: rminkah@ug.edu.gh / deptstat@ug.edu.gh

 

Deadline for Application: Friday 1st July 2022.