English

This course provides instruction in building cutting-edge interactive systems and guides to design futuristic experiences. Students gather in Make Reality Space in a studio format to construct software and hardware prototypes. Topics for each semester may change and evolve towards ultimate reality. 
 
This course focuses on mixed reality technologies. Specifically, students use Meta Quest 3, Intel Realsense cameras, computer vision toolkits, 3D printed props, and Unity game engines to connect both the physical and virtual worlds. In groups, students design and build their own interactive hardware/software prototypes and present them in a live demo at the end of term.   

This course examines the systems approach to planning, scheduling, control, and evaluation of business project management. Topics include management on scope, time, cost, quality, resources, organization, communication, risk, and procurement. 

BIM (Building Information Modeling) is an emerging technology that employs digital information models in the virtual space to achieve better quality and efficiency of construction and management work throughout lifecycle of a facility. Through lectures and case studies, this course is designed to teach students the knowledge of BIM Technology and its development and application potential. 

This course provides an overview of chemical ecology and aims to understand the history, development, and core concepts of chemical ecology.  It introduces how organisms interact via chemicals, focusing on insects and plants.   The course requires basic knowledge of biology and chemistry. 

This course introduces students to the concepts and methodology needed to implement and analyze computational models of cognition. It considers the fundamental issues of using a computational approach to explore and model cognition. In particular, this course explores the way that computational models relate to, are tested against, and illuminate psychological theories and data. The course introduces both symbolic and subsymbolic modelling methodologies, and provides practical experience with implementing models. The symbolic part focuses on cognitive architectures, while the subsymbolic part introduces probabilistic models. 

This course examines the analytical and managerial tasks involved in developing strategies that create value by satisfying customer demands and stakeholders’ interests in an everchanging competitive landscape. it covers strategy issues from the perspectives of Western firms as well as emerging market firms, both of which increasingly exposed to international competition. 

The course focuses on issues of post-conflict reconstruction and security - arms proliferation, drug trafficking, mercenaries as well as institutions of transitional justice - International Criminal Court, Truth Commissions, Special courts and tribunals.

This course focuses on concepts and contents of human rights. It examines international, regional and national conventions and legislations on human rights with specific reference to the rights of vulnerable populations. Additionally, the course reviews Ghana's compliance with human rights laws.

This course discusses the basic principles and molecular controls of embryonic development, emphasizing the progression from gametogenesis, fertilization, cleavage to gastrulation (i.e., the formation of the gut). The course also covers cell fate and embryonic axis determination as well as popular experimental models used by current developmental biologists. The course studies formation and derivatives from three germ layers, ectoderm, mesoderm and endoderm. The course then ends with a review of tissue and organ regeneration and the progression of regenerative medicine.  

This is the first course, in a two-semester course series, designed primarily for undergraduate psychology majors or minors who anticipate future applications of statistical methods. Topics covered in this course include an overview of descriptive statistics, foundational concepts in inferential statistics (probability, population, sample, sampling methods, sampling distributions, estimation of population parameters, binomial, normal, t, and F distributions), hypothesis significance testing (Type I and II errors, statistical power), and comparisons of means (t-tests, oneway analysis of variance, multiple comparisons of means, and effect sizes). 

Course prerequisite: Mastery of algebra and analytical geometry at the high-school level.