COURSE INFORMATION
Course Title: SOFTWARE MODELING AND DESIGN
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
SWE 202 B 4 2 0 2 3 6
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) Assoc.Prof.Dr. Dimitrios Karras dkarras@epoka.edu.al
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: M.Sc. Ari Gjerazi agjerazi@epoka.edu.al
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: M.Sc. Edlira Cani edcani@epoka.edu.al
Language: English
Compulsory/Elective: Compulsory
Study program: (the study for which this course is offered) Bachelor in Software Engineering (3 years)
Classroom and Meeting Time:
Teaching Assistant(s) and Office Hours: NA
Code of Ethics: Code of Ethics of EPOKA University
Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:
Course Description: This course aims to provide instruction in the field of software modelling and software designs. It's content is geared towards teaching students how to prepare quality documentation, covering requirements engineering and modelling, diagrammatic elements, both structural and behavioral as well as a long term deployment and maintenance plan.
Course Objectives: The objective of this course is: to provide modeling and design techniques used in software projects, to have knowledge on the difficulties of specifying and engineering requirements for producing large software products, to have an understanding of, and ability to apply, the methods of analysis and design, to have knowledge of, and the ability to apply the principles of design patterns and to make use of them in design process for building proper class structures and solid software components to have knowledge of , and the ability to apply, principles of user interface design such as affordances, awareness of mental models, visibility, mapping and feedback, and to provide techniques to manage the documentation and source code in a software project.
BASIC CONCEPTS OF THE COURSE
1 Research
2 Gathering information from multiple sources
3 Process engineering
4 Producing clearly stated results
COURSE OUTLINE
Week Topics
1 Introduction to Software Modeling
2 Requirements Engineering
3 Modeling Requirements I
4 Modeling Requiretments II
5 Modeling with DFD, ERD and BPMN
6 Modeling with UML I
7 Modeling with UML II
8 Midterm
9 Design Patterns I
10 Design Patterns II
11 Architectural Design
12 User-Interface Design
13 Physical Design
14 Presentation
Prerequisite(s): Introduction to Software Engineering, Object Oriented Programming
Textbook(s): Software modeling and design_ UML, use cases, patterns, and software architectures, Hassan Gomma (2011). Head First Design Patterns Building Extensible and Maintainable Object-Oriented Software, Eric Freeman, Elisabeth Robson, O’Reilly Media (2021)
Additional Literature: Software Engineering, A methodical Approach, 2nd Ed., Foster&Towle (2022). Software Engineering, A practitioner's approach, 9th Ed., Pressman&Maxim (2020)
Laboratory Work: Yes
Computer Usage: Yes
Others: No
COURSE LEARNING OUTCOMES
1 Being able to properly formulate and document a software project.
2 Knowledge of the important software engineering steps to build a reliable software application
3 Being able to engineer the software requirements and to prepare a Software Requirement Specification (SRS) documentation
4 Knowledge and ability to use different modeling techniques based on UML, BPMN, DFD and ERD.
5 Knowledge and ability to use properly the design patterns and provide them as part of software architecture design
6 Proper knowledge on the usage of techniques, skills and tools of software development practice
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
Bachelor in Software Engineering (3 years) Program
1 Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice. 5
2 Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations 3
3 Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects. 3
4 Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies. 4
5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 4
6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 4
7 The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence. 5
8 Ability for effective oral and official communication skills in foreign language. 3
9 Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology. 4
10 Engineering graduates with well-structured responsibilities in profession and ethics. 4
11 Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues. 3
12 Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity. 3
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
Project
1
60
Final Exam
1
40
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 4 64
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 8 8
Assignments 10 2 20
Final examination 1 10 10
Other 0
Total Work Load:
150
Total Work Load/25(h):
6
ECTS Credit of the Course:
6
CONCLUDING REMARKS BY THE COURSE LECTURER

No remarks to make.