Students must earn a total of 120 college credit hours to receive this degree. Of these credit hours, 60 credits are core courses, 42 general education credits, and 18 elective credits. Students must meet their core requirements as well as their general education requirements.
In addition, students must meet the following criteria:
- Students enrolled in the undergraduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 2.0 out of 4.0 to qualify for the BA degree, to remain in good standing, and to graduate.
- The Maximum Time Frame (MTF) for completion of the BA program is 180 credits.
- An undergraduate student may transfer up to 60 credit hours earned at accredited institutions.
- No degree credit is received by an undergraduate for any failing grade (a grade less than D, or 1.00 out of 4.00 grade points).
INFORMATION TECHNOLOGY CORE REQUIREMENTS (20 Courses)
Law & Ethics
In this course, students will learn about the role of ethics in international relations and international law, and areas in which the law fails to cover ethics. The course will begin by examining instances of unethical practices in diplomacy, war, and international business from the nineteenth century to present. It will examine various laws that have been introduced during the last two centuries in efforts to curtail unethical behavior and laws that have allowed nations to exploit weaker world regions. Students will complete major simulations in order to practice applying ethics to international law and diplomacy and will propose new policies to encourage ethical diplomatic relations.
Introduction to Programming I
(Prerequisite CMPS 110) An introductory course in programming, CMPS 122 exposes students to the concepts involved in using higher-level object-oriented programming language. The course will explain the programming process and give students lots of hands-on experience writing small programs during labs.
Data Structures and Algorithms I
(Prerequisite CMPS 122) The objective of this course is introducing algorithms, algorithm complexities, basic data structures, data organizations, sorting and searching algorithms. This course will also focus on the implementation details of the algorithms.
An introduction to the design and analysis of computer communication networks. Topics include application layer protocols, Internet protocols, network interfaces, local and wide area networks, wireless networks, bridging and routing, and current topics.
This course offers a continuation of the programming skills learned in CMPS 112. Students will learn more advanced applications of a programming language through lab work and independent assignments.
Introduction to Data Science
A first course in data science. Introduces data science as a field, describes the roles and services that various members of the community play and the life cycle of data science projects. Provides an overview of common types of data, where they come from, and the challenges that practitioners face in the modern world of “Big Data.” Provides an introduction to the interdisciplinary mixture of skills that the practice requires.
Database Management Systems
Main objective is understanding database management systems and creating efficient database schemas according to normalization theory. This course covers E-R modelling, database design, relational databases, SQL, relational languages, query optimization, query processing and XML.
Computer Forensics and Investigation presents principles and techniques of conducting computing investigations. Computer forensics involves obtaining and analyzing digital information for use as evidence in civil, criminal, or administrative cases. Topics include: ethics, current computer forensics tools, digital evidence controls, processing crime and incident scenes, data acquisition, e-mail investigations, and becoming an expert witness. Hands-on experience, using a forensic software package will be part of the course.
Cyber Security Law
This course will provide a basic introduction to of all aspects of cyber-security including business, policy and procedures, communications security, network security, security management, legal issues, political issues, and technical issues. This serves as the introduction to the cyber security track in electrical and computer engineering department.
Information Systems Analysis and Design
The goal of this course is to examine the system and the concepts of information system. Students learn analysis and design of the information system.
The course examines the most important APIs used in the Amazon and Microsoft Cloud, including the techniques for building, deploying, and maintaining machine images and applications. We will learn how to use Cloud as the infrastructure for existing and new services. We will use open source implementations of highly available clustering computational environments. We also learn how to deal with not trivial issues in the Cloud, such as load balancing, caching, distributed transactions, and identity and authorization management. In the process we will also become very familiar with Linux operating system.
Management Information Systems
(Prerequisite ISIT 224) Managing information systems has become a task for all levels of managers and all function areas of the business. This course is designed to familiarize students with the concepts related to the utilization of information technology in business organizations. It will focus both on technical and managerial aspects of information technology adoption in the organization. Topics such as information technology infrastructure, electronic commerce, information systems and business strategy, ethical issues related to information systems will be covered in class.
This course introduces essential topics of web programming using Java based technologies. Java Servlets and JavaServer Pages will be introduced for understanding basics of web programming. After covering basic topics, Spring Web MVC framework will be introduced for more advanced tasks. JDBC based database operations will be also covered within the scope of this course. Students who successfully complete this course will have the ability of creating database driven dynamic web applications which can generate response to user requests.
This course provides students a brief introduction of software architecture involved theory foundations, sub-fields, current research status, and practical methods. Also, students can acquire the basic knowledge of software architecture including how we can describe a system's architecture by formal language, popular styles and how it can be applied into development of a system.
Software Quality and Testing
This course provides an elementary introduction to software quality assurance and test. Topics include: Why do software testing? The meaning of black-box testing and white-box testing; Software Testing throughout the Software Process; Software Testing and Extreme Programming; The Automation of Software Testing; Difficulties and Limitations of Software Testing; The Business of Software Testing; Implementing and Automated Testing.
Content Management Software
This course explores the use of the three most popular open source web-based content management systems— WordPress, Joomla, and Drupal—to create dynamic and flexible websites and landing pages. Participants explore the fundamentals of planning dynamic websites, CMS database management, developing CSS-controlled site templates, and creating database-driven websites through the planning and creation of their own topic-based sites.
(Prerequisite CMPS 226) Data Mining studies algorithms and computational paradigms that allow computers to find patterns and regularities in databases, perform prediction and forecasting, and generally improve their performance through interaction with data. It is currently regarded as the key element of a more general process called Knowledge Discovery that deals with extracting useful knowledge from raw data. The knowledge discovery process includes data selection, cleaning, coding, using different statistical and machine learning techniques, and visualization of the generated structures. The course will cover all these issues and will illustrate the whole process by examples. Special emphasis will be give to the Machine Learning methods as they provide the real knowledge discovery tools. Important related technologies, as data warehousing and on-line analytical processing (OLAP) will be also discussed. The students will use recent Data Mining software.
Information Technology Audits & Control
(Prerequisite ISIT 356) Management and boards continue to recognize the importance of effectively managing information technology (IT) assets ― to meet business objectives and to thoughtfully manage IT related business risks. This course examines the key principles related to auditing information technology processes and related controls and is designed to meet the increasing needs of audit, compliance, security and risk management professionals.
Introduction to Statistics
This is an introductory course that assumes no prior knowledge of statistics but does assume some knowledge of high school algebra. Basic statistical concepts and methods are presented in a manner that emphasizes understanding the principles of data collection and analysis rather than theory. Much of the course will be devoted to discussions of how statistics is commonly used in the real world.
The aim of the course is to give students the necessary background in discrete mathematical structures. Basic algorithms on discrete structures will be taught.
INFORMATION TECHNOLOGY ELECTIVES (6 Courses)
Data Structures and Algorithms II
(Prerequisite CMPS 202) The objective of this course analyzing time and space requirements of important algorithms and structures. Various data structures such as stacks, queues, trees and graphs will be introduced and analyzed. This course will also focus on the implementation details of the algorithms.
Machine Learning and Pattern Recognition
(Prerequisite CMPS 205) Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this course is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The course provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the course covers a wide array of central topics that have not been addressed by previous courses. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds.
Introduction to Artificial Intelligence
(Prerequisite CMPS 322) The objective of this course is to give the student the ability to apply artificial intelligence techniques, including search heuristics, knowledge representation, planning, reasoning and learning to various problems.
(Prerequisite MATH 110) This course covers computational techniques for mining the large amount of information produced by recent advances in molecular biology, such as genome sequencing and microarrray technologies. The methods by which computers are used to manipulate and analyze sequences and structures will also be taught. The outline of the course is arranged to give fundamental concepts of bioinformatics to the students.
(Prerequisite CMPS 205) This course will support students the emerging trends, and frameworks of gamification, why it has a great potential to apply in IT projects, and how to use it effectively. The course allows students to develop a set of practical skills in using game elements using industrial case studies. Students will understand practical ways for improving a software development business particularly by understanding ways of creating an effective IT solution and exploring the intangible value in business landscapes. Unity game engine will be used as the development environment.
Exploratory Data Analytics
(Prerequisite CMPS 226) In this course students learn the essential exploratory techniques for summarizing and analyzing data. The course discusses how to install and configure software necessary for a statistical programming environment. It covers practical issues in statistical computing, which includes programming in R and how to use R for effective data analysis. The course covers the plotting systems in R and some of the basic principles of constructing data graphics.
This course introduces Android operating system for mobile phones and covers advanced topics of Android programming such as web services, multithreading, advanced database applications, multimedia operations, broadcast mechanism and using map services.
Data Warehouse Design
(Prerequisite CMPS 318) This course aim is teaching the data warehouse design. At the end of semester, students will learn database concepts and data warehouse concepts.
This course covers business intelligence concepts and methodologies including the definition of intelligent knowledge and know-how process to gain insight and perspective for businesses.
Advanced Web Application Design
This course teaches advanced web application design using Java Server Faces web framework. Understanding managed beans, page navigation rules, expression language, data validation and conversion, AJAX support, application security, building custom components and related topics will be covered within the scope of this course.
Advanced Mobile Application Development
(Prerequisite ISIT 248 or ISIT 350 or CMPS 222) Technology continues to evolve and provide us with increasingly powerful mobile devices. Thus, applications that can run on a browser must also be written such that they are compatible with mobile devices, the majority of which are now web-enabled. Meanwhile, there is an increasing demand for native applications that can be downloaded to and run on mobile devices. This course will address these trends, teaching you to think about the unique design and deployment issues that must be taken into consideration when developing applications for mobile devices.
Social Network Analysis
The course presents mathematical methods and computational tools for Social Network Analysis (SNA). SNA was pioneered by sociologist, but recently became an interdisciplinary endeavor with contributions from mathematicians, computer scientists, physicists, economists etc., who brought in many new tools and techniques for network analysis. In this course we will start with basic statistical descriptions of networks, analyze network structure, roles and positions of nodes in networks, connectivity patterns and methods for community detection. In the second part of the course we will discuss processes on networks.
Agile Project Management
(Prerequisite MGMT 200) This course covers an introduction to agile project management, fundamental principles and practices about agile project development and management.
Introduction to Project Management
Introduction to Project Management utilizes a simulated team project to manage a project’s life cycle. Emphasis is placed on activity networks, managing resources, and creating control mechanisms that minimize risk. Project leadership is explored in the context of building effective project teams and maintaining stakeholder relationships. Students will learn and apply basic project management concepts including triple constraint, planning, scheduling, work breakdown structures and project control.
GENERAL ELECTIVES: HUMANITIES
English Composition I
This course is required for students with moderate scores on the BAU English composition test. ENGL 121 develops the student’s ability to organize ideas and use critical thinking skills. The course will also review English grammar and writing mechanics. Students will learn to construct persuasive arguments and critical essays. They will practice personal reflection; analyze literature, film, and journalism; participate in the peer-review and editing processes; and learn about proper use of citations. Course materials may vary by professor.
English Composition 2
This course is open to students with high scores on the BAU English composition test. ENGL 122 develops the student’s ability to organize ideas and use critical thinking skills. The course will also review English grammar and writing mechanics. Students will learn to construct persuasive arguments and critical essays. They will practice personal reflection; analyze literature, film, and journalism; participate in the peerreview and editing processes; and learn about proper use of citations. Course materials may vary by professor.
This course is open to students with high scores on the BAU English composition test, or students who have completed ENGL 121. Academic writing and research abilities are essential for college students and professionals. During this course, students will hone their research skills and complete a short research paper on a subject of their own choice. Throughout the course, students will participate in peer-review, learn to create research paper outlines and drafts, learn to use citations properly, and learn about research and writing resources at BAU and around D.C.
Elementary French 1
An introduction to the French language for students with no prior experience. Students will practice reading, writing, listening, and speaking French. Cultural instruction on the Francophone world will also prove a foundational aspect of this course.
Elementary French 2
(Prerequisite FREN 101) A continuation of the reading, writing, listening, and speaking abilities introduced in FREN 101. Students will learn more about Francophone cultures. By the end of this course, students will be able to carry a conversation in French.
Elementary Spanish 1
An introduction to the Spanish language for students with no prior experience. Students will practice reading, writing, listening, and speaking Spanish. Cultural instruction on Spain and Latin America will also prove a foundational aspect of this course.
Elementary Spanish 2
(Prerequisite SPAN 101) A continuation of the reading, writing, listening, and speaking abilities introduced in SPAN 101. Students will learn more about Spanish and Latin American cultures. By the end of this course, students will be able to carry a conversation in Spanish.
Elementary Turkish 1
TURK 101: ELEMENTARY TURKISH I (3 CREDITS) An introduction to the Turkish language for students with no prior experience. Students will practice reading, writing, listening, and speaking Turkish. Instruction on Turkish culture will also prove a foundational aspect of this course.
Elementary Turkish 2
(Prerequisite TURK 101) A continuation of the reading, writing, listening, and speaking abilities introduced in FREN 101. Students will learn more about Turkish culture. By the end of this course, students will be able to carry a basic conversation in Turkish.
GENERAL ELECTIVES: MATHEMATICS & THE SCIENCES
Introduction to Environmental Science
According to the US National Oceanographic and Atmospheric Agency, 2016 was the warmest year on record. According to NASA, it was the warmest year for the last 125,000 years. How has human activity affected the climate so dramatically? This and other vital questions about pollution, how the environmental system operates, and the interaction between the oceans, the atmosphere, and the land will be addressed in this course.
Introduction to Computer Science
An introduction to computer programming, the concepts involved in the use of higher-level language, and the program development process. The goal of this course is sufficiency in the design and implementation of programs of significant size of complexity. It will cover topics such as algorithms, file I/O, and basic data structures. This course is quite demanding, because of the length of programming exercises assigned.
Mathematical calculations underlie the development of theories, the evaluation of trends, and the assessment of progress in all aspects of society. It will cover linear, quadratic, and simultaneous equations and the graphing of lines, circles, exponential functions, and polynomial functions.
(Prerequisite MATH 103) This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines. Linear algebra is a branch of mathematics that studies systems of linear equations and the properties of matrices. The concepts of linear algebra are extremely useful in physics, economics and social sciences, natural sciences, and engineering. Due to its broad range of applications, linear algebra is one of the most widely taught subjects in college-level mathematics (and increasingly in high school).
GENERAL ELECTIVES: SOCIAL SCIENCES
Introduction to Psychology
This course will provide students with an introduction to the key theories of psychology. The course will discuss topics such as neuroscience and cognition; the processes of learning, perception, and memory; language and social behavior; intelligence, personality, and development; and psychopathology.
The accidental encounter of Christopher Columbus and the Taíno in 1492 initiated profound changes for the societies surrounding the Atlantic basin--those of the Americas, Europe, and Africa. This course explores those changes from 1492 through the Age of Revolutions. Students will examine major themes BAU ACADEMIC CATALOG 80 in Atlantic history, including the process of European colonization of the Americas; Amerindian-European interactions; the global political, economic, and socio- cultural effects of the Atlantic slave trade and plantation slavery; and the development of revolutionary movements in Haiti, France, and the future United States.
History of Civilizations
This course develops a basic understanding of the history of major world cultures. The course provides a broad picture that deals with the nature and spread of the earliest civilizations in the Ancient Near East and the development of civilization in classical and medieval Europe, concerning their political, social, economic and religious life; focuses on the globalization process of the civilization. The course, therefore, provides an important overview of cultures and meetings between cultures and how these cultures constantly move towards an integrated society.
This course will explore the history of the United States from its origins in the eighteenth century to 9/11. The course will explore topics such as indigenous cultures, colonialism, slavery, and immigration; the Enlightenment and early American democracy; capitalism, plantation labor, and industrialization; abolitionism, the Civil War, and Reconstruction; the World Wars, the Civil Rights Movement, and the Cold War; and, finally, the effects of 9/11 on American society. Overall, students will leave the course with a firm understanding of the complex dynamics of race, gender, migration, politics, and economics in American society. Students will learn to think critically about primary and secondary sources, including works of writing, art, music, and literature, and will conduct independent research. They will also improve their written and oral communication abilities.
Introduction to Sociology
In this introductory course, students will learn about the field of Sociology and how it helps us understand our world. We will discuss key themes of sociological study, including inequality, racism and ethnicity, gender and sexuality, age stratification, and culture. Students will also learn about a variety of research methodologies.
Media Literacy in the Age of Fake News
Media Literacy is the ability to access, analyze, evaluate and create media in a variety of forms, from print to video to the Internet. This course aims at building an understanding of the role of media in society as well as essential skills of inquiry and self-expression necessary for citizens of a democracy. Upon completion of the course, students are expected to become competent, critical and literate in all media forms so that they control the interpretation of what they see or hear rather than letting the interpretation control them.
First Year Seminar
To help new students make a successful transition to campus, both academically and personally. The course aims to foster a sense of belonging, promote engagement in the curricular and co-curricular life of the university, develop critical thinking skills and help to clarify purpose, meaning and direction.