Bachelor of Science in Computer Science

This course is an overview of expository writing, including the development and revision of paragraphs and essays using various rhetorical strategies, as well as reading and discussion of selected essays, short stories and poems. In addition, the course introduces writing about literature, incorporation and documentation of material from primary sources.

*This course is aligned with the CSUN Curriculum.

Course Syllabus

This course introduces the conventions of research writing and teaches the process of producing well-planned research papers using critical thinking and analytical skills in response to a variety of academic texts. The course is designed to provide guidance in all steps of the research process including choosing a topic, designing a research methodology, analyzing data, and writing up and presenting results.

Prerequisite: ENGL 101

*This course is aligned with the CSUN Curriculum.

Course Syllabus

ARHG 101 Arabic for non-Arabic speakers (3 credits)

This course develops reading and writing skills in Modern Standard Arabic with active speaking and listening skills in both formal Arabic and various Arabic dialects. Authentic materials from the Arabic media will be used in addition to text-related video and audio materials.

Prerequisites: None

ARHG 104 Arabic for Arabic Speakers (3 credits)

A practical language course which aims at developing the language skills of native speakers of Arabic. This course provides the students with a comprehensive knowledge of the linguistic system. It is intended to help learners reach a superior level of proficiency by expanding vocabulary and providing paragraph-level activities in reading, writing, and speaking; through a selection texts by writers from across the Arab world address literary themes and represent a range of genres, styles, and periods, where each text is followed by exercises that measure understanding and comprehension, vocabulary and language applications, including grammar, morphology, spelling, stylistic applications and composition.

Prerequisites: None

The course covers the Modern History of Bahrain since 1500 till 2002. It contains: Chapter I: Introduction geography. Chapter II: A Short History of Bahrain until the beginning of the sixteenth century. Chapter III: Bahrain between European and regional ambitions. Chapter IV: Utub tribe and the establishment of political entities in the Arabian Gulf. Chapter V of Bahrain and British protection. Chapter VI: Bahrain after independence.

Prerequisites: None

Course Syllabus

This course covers human rights historical development, major human rights laws, treaties, and conventions. To learn obligations as citizens and residents of Bahrain as well as a member of the international community and to understand Human Rights Enforcement Mechanisms in Bahrain.

Prerequisites: None

Course Syllabus

This course aims to enhance understanding of concepts and the development of problem-solving skills in the areas of single variable differential calculus and single variable integral calculus. Topics include limits, differentiation, curve sketching, optimization, and introductory integration. Functions studied range from simple algebraic and radical expressions to more sophisticated rational, logarithms, exponentials, and trigonometric functions.

Prerequisites: MATH 099 or placement exam score

Course Syllabus

This course involves applications and techniques of integration, including substitution, by parts, trigonometric substitution, and by partial fractions. The course also introduces improper integrals, numerical integration, sequences and series, geometric series formula, criteria for convergence, power series, and Taylor expansion.

Prerequisites: MATH 153

Course Syllabus

This course is designed to provide students with the core competencies of computing literacy and computational thinking, which are essential skills in the digital information age. The course provides an overview of computer systems—hardware, software and networks. Students will practice using essential computing programs, and will develop computational solutions to basic problems. The course also covers social and ethical issues related to computing.

Prerequisites: None

Course Syllabus

This course is designed to help students function as independent learners within a university environment. The course teaches students various transferable study skills, including time management, dealing with group projects, test preparation, and critical reading. It also intends to raise students’ understanding of themselves as learners.

Prerequisites: None

Course Syllabus

This course introduces the fundamental concepts of Object-Oriented Programming (OOP). Students will learn how to design, implement, and test software using the OOP paradigm. The course covers topics such as encapsulation, inheritance, polymorphism, abstraction, and object-oriented design patterns. The course will be taught using a programming language.

Prerequisites: COSC 101

Course Syllabus

This course focuses on systems of linear equations and matrices, Gauss elimination, matrices, determinants vectors in 2- and 3-dimensional space, norm, dot product, cross product, lines, planes, Euclidean vector spaces, general vector spaces, and matrix diagonalization.

Prerequisites: MATH 153

This course focuses on logic, methods of proof, set theory, number theory, equivalence and order relations, counting (combinations and permutations), and solving recurrence relations.

Prerequisite: MATH 151 or MATH 153

Data structures are essential building blocks for designing efficient algorithms. This course will introduce the fundamentals of data structures and will provide a thorough understanding of how to systematically organize data in a computer system. In addition, this course will introduce students to analytical tools for comparing data structures in terms of their time and space complexities. Students will appreciate the importance of programming structures, abstractions, and algorithms for improving the efficiency of computer programs. Topics include linked lists, stacks, trees, queues, graphs and analysis of efficiency. The course also covers searching, sorting, and hashing techniques.

Prerequisite: COSC 102

Digital technology has become the core business of almost every manufacturing industry. This course gives an overview of circuitry, logic, and system design for understanding the impact of electrical and computer engineering solutions in a global, economic, and societal context. It focuses on modeling, analysis, and design of digital systems, primarily at the logical design level.

Prerequisite:  MATH 153

This course focuses on practical modelling, analysis, and design of digital systems, primarily at the logic design level. Digital electronic topics include: the basic logic gates, Boolean algebra, number systems, digital arithmetic, combinational logic circuits, multiplexers, decoders and flip-flops, counters, and registers

Co-requisite: CMPE 270

In our lifetimes, we have seen unprecedented expansion of computational capabilities fueled both by advanced processing and architectural innovations to exploit that processing capability. As a result of these capabilities automatic computation is having a huge impact on the way we live, work, communicate, and especially how we do science and engineering. This course examines in-depth the inner-workings of modern digital computer systems and the tradeoffs present at the hardware-software interface. It provides insights in the design process of complex hardware systems. A digital design background is considered fundamental, and it is mandatory.

Prerequisites: COSC 102 and CMPE 270

This course is an introduction to probability and statistics. It emphasizes on operations of sets, counting problems, definition of probability, conditional probability, Bayes’ theorem, one- and two- dimensional random variables, mathematical expectation and variance, basic discrete and continuous probability distributions, moment generating functions, law of large numbers, and central limit theorem. It also includes aspects of descriptive statistics, statistical intervals, hypothesis testing and simple linear regression and correlation.

Pre-requisites: MATH 152 OR MATH 154

This course introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. It will teach students about data modeling techniques, relational database design, use of normalization to design normalized relational databases, Structured Query Language’s (SQL), data definition (DDL), data manipulation (DML), and web database development.

Prerequisite: MATH 203 and COSC 125

This course provides an in-depth understanding of modern operating systems, covering core concepts and principles. Key topics include operating system structures, process management, thread management, CPU scheduling, process synchronization, deadlock handling, memory management, virtual memory, mass storage, and file system management. The course aims to teach students about the operating system’s role as an interface between the user and computer hardware, focusing on both high-level functionality and low-level implementation details of CPU scheduling, processes, memory management, file system management, and virtualization. It emphasizes how operating systems act as a critical bridge in computer systems, delving into the intricate workings of these components at a detailed level. 

Prerequisite: CMPE 271

This course covers the Unix system administration and practical concepts and principles that underlie modern operating systems including Processes, Threads, Synchronization, Inter-Process Communication, Deadlock and Disk Scheduling. 

Co-requisite: COSC 372

This course provides students with an overview of programming, problem-solving, testing and debugging. It explores many fundamental programming concepts with emphasis on applying theoretical knowledge to a practical situation. It introduces the fundamental concepts of a computer system, programming languages, and provides a comprehensive introduction to programming for engineering and computer science students. It is designed as an introduction to programming and programming language (Java) for students who have no or very little programming knowledge and experience.

Prerequisite: Passing the Math Placement Test or MATH 099

This course provides students with an overview of Software Engineering, introducing theory and practical exercises with main focus on practical work in teams and individually. Concepts and techniques for systems engineering, requirements analysis, design, implementation and testing of computer systems. Principles of software engineering for production of reliable, maintainable and portable software products. Emphasis on object-oriented analysis and design techniques. This is a lecture portion of a course in software engineering involving the design and partial implementation of a software system as a group project. 

Prerequisite: COSC 125

This course provides students with the knowledge and skills required to start and manage their own technology-based ventures. The course covers topics such as ideation, business model development, market research, intellectual property, and funding. The course is designed to provide students with an understanding of the entrepreneurial process and to develop their skills in identifying, evaluating, and pursuing entrepreneurial opportunities. 

Prerequisite: ENGR 205

The main objective of this course is the investigation of the role and impact of information systems used in today’s business environment. The course highlights the role of information systems in organizations using computer tools and technology in solving business problems. Topics include information technology hardware, software, networks, security, and ethics. The course uses a conceptual approach through case studies of a series of information systems such as Enterprise Resource Planning Systems (ERP), Customer Relationship Management Systems (CRM), Supply Chain Management Systems (SCM) and Decision Support Systems. Students will also engage in computing exercises using common business information system tools.

Pre-requisite: COSC 101

Course Syllabus

The course covers topics on technical analysis and runtime algorithms, asymptotic notation, some data structures such as graphs, sorting and searching algorithms and algorithm design techniques. The course covers the application of standard algorithmic approaches, including greedy, divide and conquer, and dynamic programming. Students will also learn about basic graph algorithms and NP-completeness.

Prerequisite: MATH 203, COSC 125

This course serves as an introduction to the multifaceted field of Data Science, providing students with foundational knowledge and skills necessary for working with data, in addition to foundational concepts in machine learning. The course covers essential concepts, techniques, and tools employed in the data science workflow, including data collection, cleaning, exploration, analysis, and visualization. Students will gain hands-on experience with popular data science tools and languages, fostering an understanding of how data science is applied in various domains. 

Prerequisite: MATH 260, COSC 102 

This course provides practical experience for students in the field of computer science, bridging the gap between classroom learning and real-world application. Students work in a professional setting related to their field of study, applying their knowledge to solve real-world problems, and gaining industry experience. The course focuses on developing technical skills, project management, teamwork, and communication. Students work closely with supervisors, following guidelines and best practices.

Pre-requisite: Senior standing (completing 90 credits)

This laboratory-based course provides students with practical experience in applying software engineering principles and techniques to real-world scenarios. Students will work individually and in teams to engage in various software engineering activities, including requirements analysis, design, implementation, testing, and maintenance of software systems. Through a series of guided projects and exercises, students will develop skills in problem-solving, critical thinking, and effective collaboration within a software engineering context. This laboratory course serves as a valuable opportunity for students to gain practical insights into the application of software engineering concepts and refine their skills in building reliable and maintainable software products. 

Co-requisite: SWEN 360

This course provides an overview of the fundamental concepts and principles of cybersecurity. The course covers topics such as information security, network security, and cybersecurity policies and practices. The course is designed to provide students with an understanding of the importance of cybersecurity in modern society and the tools and techniques used to protect against cyber-attacks. 

Prerequisites: CMPE 215

The main objective of this course is to introduce the theory and practice of Artificial Intelligence (AI). This course is designed to develop an understanding of the fundamental issues associated with the field such as problems and search, knowledge representation and reasoning, game playing and rule-based systems. Advanced topic areas such as probabilistic reasoning and Bayesian networks are also introduced. 

Prerequisites: DSAI 310 or CMPE 390

This is an advanced course that explores the concepts, technologies, and practical aspects of cloud computing. Students will gain a deep understanding of cloud architectures, services, deployment models, and security considerations. Through hands-on exercises and projects, students will learn to design, deploy, and manage cloud-based solutions. 

Prerequisite: COSC 372

This course covers the concepts and principles related to network management including network operation, security, and troubleshooting. The aim of the course is to give students the knowledge needed to securely establish, maintain, and troubleshoot the essential networks that businesses rely on. 

Prerequisite: CMPE 215

Web Engineering introduces a structured methodology utilized in software engineering to Web development projects. The course addresses the concepts, methods, technologies, and techniques of developing Web sites that collect, organize and expose information resources. Topics covered include requirements engineering for Web applications, design methods and technologies, interface design, usability of web applications, accessibility, testing, metrics, operation and maintenance of Web applications, security, and project management.

Prerequisite: COSC 312

This is a comprehensive course designed to prepare students for IT Project management certification. The course covers project management principles, methodologies, and best practices. Students will learn how to plan, execute, monitor, and close projects successfully. Through hands-on projects and real-world scenarios, students will develop their project management skills and become proficient in managing projects in various industries. 

Prerequisite: Senior Level (90 credits)

This course serves as the first part of a two-semester sequence. It provides students with the opportunity to apply their accumulated knowledge and skills in computer science to a substantial, real-world project. Emphasizing teamwork, project management, and interdisciplinary collaboration, this course lays the foundation for the completion of a comprehensive computer science design project in the subsequent semester. 

Prerequisite:(Prerequisite:  Senior level (90 credits), CGPA 2.0, SWEN 360/L) 

Building upon the foundation established in Capstone Project A, this course focuses on the implementation, testing, and refinement of the computer science design developed in the earlier phase. Working in teams, students will apply their technical knowledge and skills to design, build, and evaluate a solution to the identified problem or opportunity. They will follow a systematic approach to prototype development, perform rigorous testing, and iterate on the design based on feedback and evaluation results. Throughout the course, students will engage in critical analysis, problem-solving, and effective project management to address any challenges that arise during the implementation phase. Successful completion of this course will culminate in a fully functional and validated computing solution, along with comprehensive documentation and a final presentation. 

Prerequisite: CMPE 499A

This is an advanced course that delves into the field of Data Mining, exploring techniques and methodologies for discovering patterns, trends, and valuable insights within large datasets. The course covers a range of data mining algorithms, statistical models, and machine learning approaches to extract meaningful information from complex data sources. Students will engage in hands-on projects to apply data mining techniques in various domains and gain practical experience in uncovering hidden knowledge from diverse datasets.

Prerequisites: Prerequisite:  DSAI 310)  

This course focuses on the study of techniques for secure communication in the presence of adversaries. The course covers topics such as classical ciphers, modern symmetric and asymmetric key cryptographic systems, cryptographic protocols, and cryptanalysis. The course is designed to provide students with an understanding of the principles and techniques for designing and analyzing secure communication systems. 

Prerequisite: MATH 203

The course covers some key issues related to the organization and storage of data to external storage. The specific topics discussed include the concept of file storage peripherals and physical characteristics, layout and sort files located on disks, primary file organization, secondary file organization, static and dynamic data structures, Indexed Sequential Access Method (ISAM), static and dynamic fragmentation, B+ trees and multidimensional data structures.

Prerequisite: COSC 312

The aim of this course is to equip students with a solid foundation in specialized mobile programming concepts. Throughout this course, students will develop the skills to apply design principles in the creation of user-centered mobile applications that align with business requirements. Hands-on activities will allow them to gain practical experience in a mobile programming language, enabling them to become proficient in mobile app development.

Prerequisite: COSC 312

This is an advanced course that provides an in-depth exploration of the principles, technologies, and practical applications of Big Data. As organizations grapple with the challenges posed by massive volumes of data, this course equips students with the skills to navigate and harness the power of Big Data technologies. The curriculum encompasses key concepts in distributed computing, storage systems, and data processing frameworks.

Prerequisite: DSAI 310

This course is a broad and comprehensive introduction to computer vision. The course covers computational techniques and methods for extracting meaningful information from visual inputs. Topics include image analysis, object detection, image segmentation, feature extraction and pattern classification. Students will also be introduced to modern real-world applications of computer vision in various fields such as robotics, graphics, medicine, and manufacturing. 

Prerequisites:  MATH 260, COSC 125