Bachelor's in Computer Science

ACES100 - This course presents the skills needed for university success and initiates students to career planning and development. Students evaluate their abilities and interests in order to develop career goals and align these goals with an appropriate course of study. Through a career investigation project, students are introduced to research techniques. Students also improve on academic skills necessary to successfully complete university work, such as critical thinking, study techniques, and test taking strategies. In addition, students are introduced to important dynamics of interpersonal communication and conflict resolution. The course also orients students to the University, to the Davenport University Excellence System, and to other elements of the Davenport curriculum. (This course is required for all new business and technology students, except those transferring with 30 or more semester credits.)

Open Elective - Any course at the 100 level or above that is not already required in program.

This course explores applied ethics, focusing on social and professional situations especially in the fields of business, law, and tech-nology. Students learn ethical theory as they examine the complexities of ethical dilemmas. Students also compare and contrast ethical and moral systems. In addition, students apply creative and critical thinking to ethical dilemmas involving professional and social responsibility. A $55.00 Peregrine assessment fee is charged in this course.

This course introduces and applies the theories and principles of effective communication. Students learn to organize and present clear, logical messages to specific audiences. They develop confidence in public speaking and increase their ability to inform and persuade listeners. They also implement critical thinking and listening skills. Finally, students exhibit the skills and tools necessary to construct, organize, and deliver effective speeches.

This course introduces students to expository and persuasive writing. Employing critical thinking and the writing process, students will compose academic essays utilizing a variety of modes. They will also analyze and respond to a variety of academic and professional readings. Students will evaluate information and audience to improve form and content. Students are also introduced to the research process, including finding, evaluating, and documenting sources, to complete a short research project using the American Psychological Association Style. Online sections of ENGL109 will have a $65.00 fee for books. Note: ENGL109L is a 0 credit hour lab utilized in the Accelerated Learning Program (ALP). There is a $300.00 lab fee included in ENGL109L. Prerequisite(s): Appropriate test scores or successful completion of ENGL021. Student must also complete a diagnostic writing sample.

This course further develops the skills in expository and persuasive writing that were introduced in ENGL109, English Composition. Students develop critical thinking through the creation of essays and documents that use argumentation and persuasion. As a team, students collaborate to present a required assignment to the class. Students learn to research, evaluate, and incorporate information from both primary and secondary sources, to document secondary sources using APA format, and to analyze information and audiences to improve form and content. Online sections will have an $55.00 ebook fee included with the course. Prerequisite(s): ENGL109

This course develops the written and presentation skills necessary for success in professional, supervisory, or managerial positions. Emphasis on communication in both on-paper and digital media is included. Students also learn to use a variety of formats, styles, and delivery systems to achieve the clear, concise, and professional communication required to communicate in global markets. To stress the importance of workplace communication, students create a major professional document as a team. Prerequisite(s): ENGL110 and COMM120

This course introduces the fundamentals of linear algebra (i.e., the notation and algebra of vector spaces and matrices). Because these items have the ability to handle masses of data as a single unit with relative ease, they are of particular interest to those in computer science. Those applications to programming (e.g., 3-D game design, simulation, and biometric security) will serve as context throughout the course. Topics include matrix operations, linear transformations, vector spaces, and 3D geometry. Note: Online sections will have an $85.00 eBook/MyMathLab fee included with the course. Prerequisite(s): MATH135 or MATH150

This course covers differential calculus and an introduction to integral calculus. Topics include: limits and continuity, the definition of the derivative, rules and techniques of differentiation, applications of the derivative (including motion, L?Hopital?s Rule, curve sketching, optimization, and related rates), antiderivatives, Riemann sums, the definition of the definite integral, the Fundamental Theorem of Calculus, and elementary methods and applications of integration. Online sections will have an $85.00 eBook/MyMathLab fee included with the course. Note: A grade of C or above is required to take MATH216, MATH317 and MATH350. Prerequisite(s): MATH150

This course covers applications and solutions of first order differential equations including graphical solutions, applications and solutions of second order linear differential equations, systems of first order linear differential equations, theory and techniques of linearization, and graphical solutions to first order systems of nonlinear differential equations. The emphasis throughout will be using differential equations to model and predict the behavior of natural processes. Prerequisite(s): Completion of MATH215 with a C or above

PHYS100
This course introduces the basic physical principles relating to particle motion, transfer of energy, energy fields and waves, rotational motion, thermodynamics, electromagnetism, material properties, and relativity. Students will apply these principles to physical systems in the virtual or physical laboratory setting. For online sections only, there is an $85.00 fee which covers software and eBooks.
Co-requisite(s): PHYS100L
Prerequisite(s): MATH125

PHYS100L
(2 contact hours)
This course introduces the basic physical principles relating to particle motion, transfer of energy, energy fields and waves, rotational motion, thermodynamics, electromagnetism, material properties, and relativity. Students will apply these principles to physical systems in the virtual or physical laboratory setting. There is a $145.00 lab supplies and insurance fee for this In-seat course.
Co-requisite(s): PHYS100
Prerequisite(s): MATH125

• All PHYS prefixed courses required for the BS Biological Sciences degree program require a C or better grade for successful completion.

This course introduces the fundamental mechanics of physics. The physical properties of motion, matter, phases, thermodynamics, heat, vibrations and sound will be discussed. Methods for quantitative and qualitative analyses of physical properties will be introduced. This course is the first in a two-course sequence introducing students to the fundamentals of physics. Online sections will be charged an $85.00 ebook fee. Co-requisite(s): PHYS210L Prerequisite(s): MATH150

(2 contact hours) This laboratory course introduces the fundamental mechanics of physics through hands-on and/or virtual laboratory experiments. Experiments involving physical properties of motion, matter, phases, thermodynamics, heat, vibrations and sound will be done. Methods, including the scientific method, for quantitative and qualitative analyses of physical properties will be introduced. This laboratory course is the first in a two-course laboratory sequence introducing students to the fundamentals of physics A $120.00 lab fee is charged in this course. Online sections will be charged an additional $85.00 eBook fee. Co-requisite(s): PHYS210 Prerequisite(s): MATH150

This course introduces students to the complex issues surrounding diversity in U.S. society and to the need for understanding difference in an increasingly globalized world. Students will explore the social-historical context of multiple experiences on individual, cultural and institutional levels. They will analyze the complex interactions regarding diversity in organizations. Students will also evaluate their own thoughts, attitudes, and behaviors in order to understand their roles in a diverse society.

This course introduces students to socioeconomic, political and cultural dimensions of globalization. While employing an interdisciplinary approach, students explore the aspects and driving forces of globalization. Students analyze how macro globalization processes that transcend national boundaries, such as democratization, human rights, global finance, terrorism, pandemics, and environmental changes, impact lives of individuals in various regions of the world. The students critically assess the current and future impacts of issues, payoffs, dangers, and paradoxes of people's choices about the global issues while emphasizing an institutional approach to resolving global problems. Prerequisite(s): ENGL109 and SOSC201

This course surveys the main components of the business systems cycle. The five phases of the systems development life cycle (SDLC) (systems planning, system analysis, systems design, systems implementation, and system operation and support) will be investigated. Students will look at how many of the typical business needs are incorporated into a business system. These may include invoicing, accounts receivable, order entry, inventory, accounts payable, payroll, manufacturing, and sales/marketing. Participation in a group project, site visit, or case study will give students a sense of group dynamics in real-world systems development projects. Recommended Prerequisite(s): CISP100

This course will examine the major types or data models of Database Management Systems (DBMS): hierarchical, network, relational, and object-oriented. The principles and problems of database design, operation, and maintenance for each data model will be discussed and compared. Topics that will be covered include design theory, query language, relational expressions, SQL, stored procedures, client-server interfaces, entity relationship diagrams, normalization, and database security. Prerequisite(s): CISP111, IAAS221 or IAAS224

This is an introductory course in object-oriented programming. Students learn fundamental programming concepts including structured programming, operations on data and decision-making, looping, recursion, pointers, scope and class of variables strings, numeric arrays, sorting, and an introduction to data structures. Emphasis will be placed on the design, development, and testing of programs used to solve practical problems. Note: A grade of C or better is required to take the next level of programming courses CSCI 232, CSCI 234 AND CSCI239 Co-requisite(s): CISP111

This continuing course in object-oriented programming exposes students to C# programming and object-oriented analysis and design techniques. Students will design, develop, and test applications used to solve practical problems. Topics explored include classes, inheritance, polymorphism, interfaces, database access, extensible markup language, and network programming. Prerequisite(s): CSCI231 completed with a grade of C or better

This course applies fundamental ideas in discrete structures and mathematical reasoning. Topics include elementary logic and set theory, functions and relations, induction and recursion, elementary algorithm analysis, counting techniques, and introduction to computability. Fundamental techniques include graph theory, Boolean algebra, and trees. Techniques and topics will form the foundation for subsequent programming language courses. Prerequisite(s): CISP111 and MATH130, MATH135 or MATH150

This course focuses on fundamentals of data communications systems and networks. Topics to be covered will include communications hardware and software, data transmission, protocols to include the LDAP, the OSI Reference Model, local area networks, wide area networks, and the Internet. Prerequisite(s): MATH125 and NETW101 or CISP111

This course will present an overview of the topics fundamental to Biometrics. Those topics will include an introduction to the Biometric modalities currently being used today (such as Face, Finger, and Iris). Performance evaluation of biometric systems will be explored as well as understanding the components that make up a biometric system. An overview of the sciences that allow biometrics to be used today will also be briefly covered (Computer Vision, Pattern Recognition, Machine Learning, and Statistical Inference) Prerequisite(s): IAAS221 or IAAS224

This course introduces students to the game development process from storyboarding the initial concept to the final marketing documentation. During this course, students will utilize multiple game development methodologies to move a project through the major stages of game design with each student assuming one or more of the development team roles. Prerequisite(s): CISP111

The key objective of this course is to learn modular design of software and documenting the design using symbolic representations, i.e., UML diagrams. The course will cover software life-cycle models and different phases of the software development process. Object-oriented techniques are key to the course. However, this is not a programming course Prerequisite(s): CSCI231

This course will examine the fundamentals of machine organization, assembly language, and machine language to expose the student to the fundamental operating principles of a central processing unit and related components. Topics may include instruction set architecture, assembling and linking, memory addressing modes, parameter-passing conventions, pipelining, cache and virtual memory organization, I/O and interrupts, registers, RISC vs. CISC, and data representation. Prerequisite(s): CISP111

This course will present an introduction to the field of Artificial Intelligence. Topics will include problem solving, search techniques (including game playing), inductive learning, decision trees, reasoning, and natural language understanding. Prerequisite(s): CSCI231 and MATH250

This course is a continuation of object-oriented programming that investigates advanced topics in technically oriented programming. Algorithmic analysis using computational complexity and big-O notation will be applied to classic data structures, including but not limited to arrays, vectors, linked lists, stacks, queues, trees, binary trees, binary search trees, and graphs. The computational complexity of classic searching and sorting algorithms will also be investigated. Prerequisite(s): CSCI232, CSCI234, or CSCI239

The course will focus on image processing and introduce the student to the field of Computer Vision. The goal of Computer Vision is to develop methods that will allow a machine to understand or analyze images/videos. We will explore various fundamental topics in the field typically including image formation, edge detection, segmentation and background subtraction. Prerequisite(s): CSCI222 and CSCI280

This course will provide an overview of networked computing, the systems and applications supporting and surrounding them. The autonomous nature of distributed computing, as well as design and implementation issues, is examined. Topics include complexity management, concurrency, protocols, security, performance, networking, reliability, fault-tolerance, and middleware. Distributed systems studied will include client-server computing, distributed objects, peer-to-peer, distributed file systems, multicast communication, distributed shared memory, web services and the WWW architecture. Prerequisite(s): CISP247

This course investigates operating system structure and design. Topics include computer system structures, processes, threads, CPU scheduling, memory management, virtual memory, I/O, protection, and security. Recent advances in operating system theory will be investigated. Prerequisite(s): CSCI312

In this course, students will examine concepts in the design of modern programming languages. These concepts may include syntax, semantics, control flow, expressions, scope, sub-programs, data types, abstract data types, and concurrency mechanisms. Prerequisite(s): CSCI312

CSCI490 - Contact Regional Internship Manager at least two semesters prior to enrolling.
This bachelor-level Computer Science Internship is the integration of previous classroom instruction with new learning acquired through on-the-job work experience. The employment experience should be related as closely as possible to the student’s major field and individual interest. In general, 150–200 hours of career-related work time shall be required at the employment site and evidenced by weekly reports filed by the student. Students will be given information concerning placement site possibilities; however, responsibility for selection by the internship employer rests with the student. The internship may be either paid or unpaid. An appropriate faculty member and the placement site supervisor will evaluate the student’s performance. Note: Any unexcused non-attendance or dismissal from an internship will result in a grade of F. A Criminal Background check and drug screening may be required by the Internship site. A $30.00 insurance fee and a $30.00 Internship Management fee are charged in this course.
Prerequisite(s): Junior status, CSCI260 and either CSCI232, CSCI234, or CSCI239; minimum 2.5 cumulative grade point average and 2.7 in the major.

TECH489 - This course provides students the opportunity to apply discipline-related knowledge through live, field-based projects with organizational clients from diverse industries and sectors, including entrepreneurs, small businesses, and non-profit organizations, among others. Teams of three to five students, with support of faculty, provide data, analysis, and recommendations designed to help clients achieve technological advances to solve organizational challenges and to impact growth. This qualifies as an Experiential Learning option within the College of Technology.  Prerequisite(s): Senior status and minimum GPA of 2.3

*Either CSCI490 or TECH489 must be completed unless the experiential learning component is satisfied. An upper level technology substitution must be chosen if the experiential component is completed within a required course in the major.

This is the capstone for the Bachelor of Science degree in the Computer Science. Competency of the program will be demonstrated through a project in which the student demonstrates proficiency in their specific major area of study. Prerequisite(s): Last semester; major courses complete or taken concurrently

This course will provide an overview of information security from both the perspectives of the organization and that of personal computing. Topics include security management practices, physical security, security architecture, business continuity and disaster recovery planning, access control systems, security controls, cryptography, telecommunications and network security, operations security, law and ethics, and personal computer security. Recommended Prerequisite(s): CISP100

This course will cover the conventional models and methodologies of computer game design and development. This course builds upon the introductory gaming course using 2D games and simulations. Lectures and hands-on exercises will stress game design, virtual reality simulations, and the evaluation of human play experiences. Prerequisite(s): CSCI231 and CSCI258

This course will extend the concepts learned and applied in Game Design (CISP335) to the 3D environment. Topics will include advanced design and architecture, creation of 3D game and simulation development, and interactive virtual environments. Lecture and hand-on exercises will stress application creation and execution in a 3D context. Prerequisite(s): CSCI335

This course introduces students to the fundamentals of modeling and simulation (M&S). Topics covered include M&S theory, simulation tools, data modeling, discrete event simulation, continuous simulations, and Monte Carlo simulation. Students will design, develop, validate, and verify multiple discrete event simulations. Prerequisite(s): CSCI312

This course focuses on the development of a functional multiplayer network-enabled game or simulation. Networking code will be developed that employs prediction algorithms to account for network latency. Emphasis will be placed on the management of the design process and the use of tools and technologies that enable collaborative development and management through all stages of the development life cycle. Prerequisite(s): CSCI370

This course will provide students with a basic understanding of child and family development and the complex nature of family risk and resilience. Students will examine current public policies and safety net programs, particularly in the areas of child protection and strengthening families. Using relevant models, students will identify and apply appropriate strategies and assessments to increase personal and family resilience. Prerequisite(s): ENGL109

This course prepares students to tutor multicultural students within urban schools, and is a good elective choice for those who might be interested in teaching. Special emphasis will be placed on active learning and understanding the youth experience in a multicultural environment. Successful completers will be able to collaborate with culturally responsive mentor teachers to learn how to effectively connect with students of various ethnic, racial, cultural and socioeconomic backgrounds. Students will gain real-world experience in developing tutoring lessons and working one-on-one with diverse learners. Strategies which utilize technology to facilitate student engagement in self-directed instruction will also be introduced. In addition to 15 hours of class work, students perform a minimum of 30 hours of service. A $30.00 internship management fee is charged in this course. Prerequisite(s): Students must have a minimum of 2.5 or better cumulative GPA and completed at least 24 hours of c

In this elective course for students who may be interested in teaching, students will observe and begin to cultivate the necessary skills, approaches, and mindsets needed to become an effective multicultural educator. Special emphasis will be placed on active volunteering, observing, and interviewing educators serving in various roles within an urban school setting. Successful completers will gain practical experience assisting teachers and observe how they use culturally responsive teaching practices in a diverse classroom. Students will also observe how teachers utilize technology and various educational resources to foster academic success. In addition to 30 hours of class work, students perform a minimum of 60 hours of service. A $30.00 internship management fee is charged in this course. Prerequisite(s): Students must have a minimum of 2.5 or better cumulative GPA and completed at least 24 hours of college level work.

This course is a good elective choice for those students interested in teaching. In this course students will learn about the historical evolution of multicultural education through exposure to key concepts as well as theoretical models from both research and practical perspectives. The impact of race, gender, second language acquisition, poverty, class and religion on teaching and learning will be examined. Students will learn strategies and tools that incorporate knowledge of culture in the development of effective classroom management and teaching practices. Prerequisite(s): ENGL110 and SOSC201

This course will examine the fundamentals of machine organization, assembly language, and machine language to expose the student to the fundamental operating principles of a central processing unit and related components. Topics may include instruction set architecture, assembling and linking, memory addressing modes, parameter-passing conventions, pipelining, cache and virtual memory organization, I/O and interrupts, registers, RISC vs. CISC, and data representation. Prerequisite(s): CISP111

This course investigates operating system structure and design. Topics include computer system structures, processes, threads, CPU scheduling, memory management, virtual memory, I/O, protection, and security. Recent advances in operating system theory will be investigated. Prerequisite(s): CSCI312

This course introduces students to the fundamentals of modeling and simulation (M&S). Topics covered include M&S theory, simulation tools, data modeling, discrete event simulation, continuous simulations, and Monte Carlo simulation. Students will design, develop, validate, and verify multiple discrete event simulations. Prerequisite(s): CSCI312

In this course the student will study algorithms that are core to the Computer Science field as well as an in-depth analysis of each type of algorithms. .Selected algorithms may include graph based algorithms, divide and conquer, linear programming, dynamic programming, and computational geometry. Students will also analyze algorithms in order to be able to identify NP-hard problems. Prerequisite(s): CSCI280 and CSCI312

This course will introduce the student to the theory and application of deep learning. Machine learning concepts will be covered such as hyperparameters, validation sets, overfitting, under-fitting, bias and variance. Methods for regularization of deep learning methods will be discussed as well as the optimization and application of deep learning algorithms to real world problems. Other concepts that may be discussed could include convolutional networks and autoencoders. Prerequisite(s): CSCI280

This course will tie in the fundamentals learned about biometrics in the introductory course with the computer visions and pattern recognition courses. Students will learn techniques that are currently being used and applied to biometrics as well as study the research that is ongoing. Topics covered may include feature extraction techniques, various pattern recognition algorithms and computer vision topics that are currently being discovered and explored. Prerequisite(s): CSCI380 and CSCI410

This course will cover the different types of data classification and how they are applied to the algorithms that classify the unique biometric traits. Supervised and unsupervised learning methods will be covered. Linear models for regression/classification, nearest-neighbor, and neural networks are just some of the topics that may be covered. Prerequisite(s): CSCI222 and CSCI312

In this course the student will study algorithms that are core to the Computer Science field as well as an in-depth analysis of each type of algorithms. .Selected algorithms may include graph based algorithms, divide and conquer, linear programming, dynamic programming, and computational geometry. Students will also analyze algorithms in order to be able to identify NP-hard problems. Prerequisite(s): CSCI280 and CSCI312

MATH205 Applied Linear Algebra 4 CR
This course introduces the fundamentals of linear algebra (i.e., the notation and algebra of vector spaces and matrices). Because these items have the ability to handle masses of data as a single unit with relative ease, they are of particular interest to those in computer science. Those applications to programming (e.g., 3-D game design, simulation, and biometric security) will serve as context throughout the course. Topics include matrix operations, linear transformations, vector spaces, and 3D geometry. Note: Online sections will have an $85.00 ebook/MyMathLab fee included with the course.
Prerequisite(s): MATH140 and MATH135 or MATH150

MATH215 Calculus I 4 CR
This is a first course in the standard calculus sequence covering differential calculus and an introduction to integral calculus. Topics include: limits and continuity, the definition of the derivative, rules and techniques of differentiation, applications of the derivative (e.g., L’Hôpital’s Rule, curve sketching, optimization, etc.), antiderivatives, Riemann sums, the definition of the definite integral, and the Fundamental Theorem of Calculus. Online sections will have an $85.00 ebook/MyMathLab fee included with the course. Note: A grade of C or better is required to take the next course in the sequence.
Prerequisite(s): MATH150

MATH250 Discrete Structures 3 CR
This course applies fundamental ideas in discrete structures and mathematical reasoning. Topics include elementary logic and set theory, functions and relations, induction and recursion, elementary algorithm analysis, counting techniques, and introduction to computability. Fundamental techniques include graph theory, Boolean algebra, and trees. Techniques and topics will form the foundation for subsequent programming language courses.
Prerequisite(s): CISP111 and MATH130, MATH135 or MATH150

 

This course covers methods and applications of integral calculus, improper integrals, sequences and series including theory and applications of Taylor series, and an introduction to differential equations. Prerequisite(s): Completion of MATH215 with a C or above

This course covers polar coordinates, three-dimensional Euclidean space including lines, planes and space curves, vector operations, multivariable scalar and vector-valued functions, partial derivatives, line and surface integrals, multiple integrals, and Green?s, Stokes and the divergence theorems. Prerequisite(s): Completion of MATH215 with a C or above

This course covers applications and solutions of first order differential equations including graphical solutions, applications and solutions of second order linear differential equations, systems of first order linear differential equations, theory and techniques of linearization, and graphical solutions to first order systems of nonlinear differential equations. The emphasis throughout will be using differential equations to model and predict the behavior of natural processes. Prerequisite(s): Completion of MATH215 with a C or above