The aim of this course is to introduce students to the fundamental concepts of business process modeling, a systematic approach to model flow of work within organizations in order to support detailed analysis of business processes. The course covers definition of business processes, principles of process modeling, workflow design, analysis of business process models, overview of existing modeling languages (UML, YAWL, BPEL/BPMN), and business process integration. process representation; interpreting and creating process diagrams; and process validation and change management.
This course will cover the usability engineering methods used in the pursuit of UCD, and the justification for the application of usability engineering in a software development
After completing this course, the student will be able to:
- understand and be able to explain the rudimentary aspects of how human beings take in and process information,
- know what the methods of usability engineering are and have experience with some of them,
- understand and be able to explain why software developers should NOT depend on their own intuitions for what is a usable design,
- be able to make the arguments for cost-justifying a user-centered design approach,
- have had exposure to a variety of usability labs,
- know how to carry out a usability evaluation and write a usability test plan and report.
The course introduces agent systems and software agents. It focuses on
agent system architecture and infrastructure from a software engineering
viewpoint, including requirements for agent-based systems; modeling
and design of agent-based systems and the development process for
agent-based systems. Topics such as agent architecture, communication,
knowledge sharing, computing, and uncertainty management are
discussed. Studying society of agents and models of agency follows.
Finally, a perspective on a methodology for agent-oriented software
engineering and standards are presented.
This course discusses basics of the knowledge discovery process, data
mining, and provides a basic introduction to data science. It also presents
current research in Knowledge Discovery in Databases (KDD) dealing
with data integration, mining, and interpretation of patterns in large
collections of data. Topics include data warehousing and data pre
processing techniques; data mining techniques for classification,
regression, clustering, deviation detection, and association analysis; and
evaluation of patterns mined from data. Industrial and scientific
applications are discussed.
This course introduces you to Games development, emphasising a mix
of creative content design, development,and technical specialisation.
You will gain an understanding of the Games industry from its
conception through to current trends. Initially, you will study the
lifecycle of games development, focusing on story design, character
design, game mechanics, and level design, as well as content
development including textures and interface, 3D modelling, game
development, and programming. You will learn event driven
programming through triggers and updates in a games development
environment.
● Via lectures and hands-on projects, the course explores principles of 2D
and 3D graphics, animation, sound, and collision detection using various
frameworks, as well as programming languages. By class’s end, students
will have programmed several of their own games and gained a thorough
understanding of the basics of game design and development.
The aim of this course is to provide a unified introduction to computer
graphics and computer vision It introduces both the hardware and
software utilized in computer graphics imaging or digital visual arts. The
emphasis is on creating a working graphics system from the ground up,
but modern models and applications are also discussed and utilized. The
fundamentals of display hardware and applications, interactive
techniques and color models, study of 3D viewing pipeline, drawing
images in OpenGL, 3D polygon rendering and transformations are
discussed shrewdly.
This course is a continuation from capstone project I of 1st semester.
This course deals with the nature of information as an organizational
resource; its significance in decision making and management; information
requirements at different levels and functional areas of management;
identification and source of information required; management of
information system; development of information system; application of
information and knowledge management. Common business applications
related to management such as Financial Information Systems, Marketing
Information Systems, Manufacturing and Production Information Systems,
Human Resource Information Systems, Managerial Decision Support
Systems will also be discussed.
The course will introduce the basic concepts of modeling and simulation
that are increasingly being used by architects, planners, and engineers to
shorten design cycles, innovate new products, and evaluate designs and
simulate the impacts of alternative approaches. Students will use
MATLAB to explore a range of programming and modeling concepts
while acquiring those skills. They will then undertake a final project that
analyzes one of a variety of scientific problems by designing a
representative model, implementing the model, completing a
verification and validation process of the model, reporting on the model
in oral and written form, and changing the model to reflect corrections,
improvements and enhancements.
This course is designed to provide students from non-finance
backgrounds an in-depth understanding of both the opportunities and
challenges in the FinTech industry, with a special focus on the Ethiopian
market. The course will cover key FinTech concepts, digital currencies,
digital payments, lending platforms, and regulatory landscape as well as
delve into the critical areas of cybersecurity and fraud prevention in the
FinTech sector. The course prepares students for potential careers in the
rapidly evolving FinTech industry, with a strong foundation in both
FinTech and cybersecurity principles.
This course is a step by step description of the software metrics. It
includes introduction to foundations of measurement theory, models of
software engineering measurement, software products metrics, software
process metrics and measuring management.
The capstone project allows students to demonstrate their learning using
an area of interest as the basis for the project. This could be in an area
that they participate to pursue after graduation. Students will work in a
team of 3-4 to design, assemble/develop and present a capstone project
to an audience to demonstrate personal learning and achievement, and
growth in core competencies.
The course covers the entire software product life cycle, the emphasis is
on requirements management and setting their priorities, feature
grouping and variation management, and version control systems. The
course will also cover issues related product management role in
software industry; Product definition; configuration management;
Product management tools - planning, managing and tracking and
dealing with external stakeholders.
The purpose of this course is to give students the opportunity to cover
issues and current trends that might have not been covered in the courses
provided as core or elective courses. The instructor has the responsibility
of introducing current topics relevant for the program.
Students are provided with a list of papers published on accredited
journals or conference proceeding to choose from. Each student will
choose papers, critically evaluate, prepare and submit a well-written
report followed by oral presentation findings and critics.
This course focuses on approaches to systems thinking; systems
thinking method; and Systems Thinking Guide in the work place.
Systems thinking as a method and tool for managing change, solving
complex problems, and creating individual and team learning.
This course focuses on Service Oriented Architecture (SOA) concepts
and principles, as well as quality considerations for developing modern
software systems from a technical and organizational
perspective. Topics include: Introducing service oriented architecture
(SOA); Principles of service orientation; SOA business aspects:
standards of Web services, implementation of SOA using Web services,
business aspects of SOA and Web services; SOA Design Patterns: SOAP - Message exchange Patterns - Coordination - Atomic Transactions -
Business activities - Orchestration - Choreography - Service layer
abstraction - Application Service Layer - Business Service Layer -
Orchestration Service Layer; Business-centric SOA - service modeling -
Service Oriented Design; SOA Technologies - SOA Tooling - SOA
Vendors;
The course covers the following topics: Database concepts related to data handling techniques, definition of a database and benefits of database systems, functions and components of DBMS. Architecture for database systems: ANSI SPARC architecture architectures, data model concepts and basic types of data models (Hierarchical, Network and Relational data models). Emphasize on Relational data model: data structures and integrity rules. Three levels Database design: (Conceptual, Logical and Physical Database designing). Basics of Relational Languages (Relational Algebra, Relational calculus and SQL), normalization as a process for verification of data model design, SQL interaction with programming interfaces.
Learning
This course introduces the concept of practices of Continuous Integration and Deployment. The course provides a comprehensive, hands-on journey into Continuous Integration (CI) and Continuous Deployment (CD) within the broader DevOps ecosystem. It equips learners with the skills, tools, and practices required to build automated, reliable, and scalable software delivery pipelines.