Description: Overview of computer systems—hardware, operating systems, the Internet, and application software including word processing, spreadsheets, presentation graphics, and databases. Current topics such as the effect of computers on society, and the history and use of computers in business, educational, and other interdisciplinary settings are also studied. This course is not intended to count toward a student's major field of study in business or computer science.Learning Outcomes:Upon successful completion of this Introduction to Computing course, you will be able to:Describe the fundamentals of computing infrastructure components: hardware, application software, operating systems, and data communications systems.Delineate and discuss societal issues related to computing, including the guiding principles of professional and ethical behavior.Demonstrate the ability to create and use documents, spreadsheets, presentations and databases in order to communicate and store information as well as to support problem solving.Describe the need and ways to maintain security in a computing environment.Explain how networks work; implement a basic home network.Describe basic concepts/structures of computer programming, demonstrate an understanding of programming strategies and design an algorithm.

This course prepares the medical coding student for detailed procedural coding in integumentary, musculoskeletal, respiratory, and cardiovascular systems. Additionally, this course prepares the student to use ICD-10 diagnostic codes as principal, primary, secondary, and tertiary medical necessity justification. This course also prepares students to competently select accurate HCPCS codes for supplies, medications, transportation, etc.

Course Outcomes:
1. Identify and locate clinical information in patient charts which pertain to reimbursable data in all outpatient settings, and closely approximate the proper
2. Evaluation and Management code for reimbursement.
3. Demonstrate competency in procedural and diagnostic coding for the following systems: Integumentary; Respiratory; and Cardiovascular.
4. Demonstrate knowledge of Insurance, Billing and Coding Regulations.
5. Demonstrate accurate Diagnostic Coding.
6. Demonstrate accurate HCPCS Coding.
7. Demonstrate knowledge of CPT Coding Conventions.

This course introduces terminology and gives an overview of the computer and information science. It focuses on the basic concepts of computer hardware and software systems, software applications, online inquiry, and evaluation of materials including ethical decisions. It also includes concepts reinforced in a laboratory environment. Through specific hands-on experience you will gather, evaluate, and solve real-world problems and form decisions based upon critical examination of today's technology.

This class is designed to teach you how to use a computer running a Windows Operating System. If you do not have access to a Windows computer or have problems doing assessments, please contact your Navigator to discuss your options.

Course Outcomes:
1. Identify current and future trends in computing and recognize various computing devices and their uses.
2. Identify the parts of a computer and their features and functions and recognize the advantages and limitations of important peripheral devices.
3. Identify and describe the features of desktop and specialized computer operating systems and understand the importance of system utilities, backups, and file management.
4. Explain why the web is important in today's society and why fluency in the tools and language of the Internet is necessary to be an educated consumer, a better student, an informed citizen, and a valuable employee.
5. Understand what a computer network is, identify different types of networks, and recognize threats to security and privacy.
6. Demonstrate the proper use of basic word processing, spreadsheet and presentation software features.

This course is designed as a survey course to familiarize students with computer concepts including software and hardware, software applications, and living online leading towards digital computer literacy. Instruction in this course is provided through demonstration and discussion. Class time will be provided for practicing concepts as well as working through assignments; however, additional time outside of class will be essential to improve skills and complete the assignments.

This course presents an overview of the Microsoft Windows Operating System (OS), with emphasis on the OS design, configuration, operations, and applications. This course will also cover PowerShell scripting and includes researching, documenting, and presenting a key OS function.

This is the first of two courses in the administration of Microsoft Windows® client/server networked operating systems. The courses CS 240A and CS 240B are laboratory-intensive courses that provide hands-on experience in the planning, installation, and administration of Microsoft Windows® client/server networks. The two courses provide partial preparation for the MCSA® and MCSE® exams.

This is the second of two courses in the administration of Microsoft Windows® client/server networked operating systems. The courses CS 240A and CS 240B are laboratory-intensive courses that provide hands-on experience in the planning, installation, and administration of Microsoft Windows® client/server networks. The two courses provide partial preparation for the MCSA® and MCSE® exams.

This course in an introduction to project management. The art and science of project management has evolved much over the last 1-2 decades. At this point, 2017, all small, medium and large companies use structured project management methodologies and guidelines to run their internal and external projects. My objective is not to teach you how to become a project manager, that will require many courses and hands-on experience, but to teach you how to become an effective team player on a structured project.|A practice-oriented course with examples, applications and proven techniques that demonstrate systems analysis and design. Actual organization, business settings, and project management software are used to show how systems concepts can apply to many different types of enterprises. Project lifecycle as well as project management software, terminology and concepts are discussed.

This course is offered to graduates and is a project-oriented course to teach new methodologies for designing multi-million-gate CMOS VLSI chips using high-level synthesis tools in conjunction with standard commercial EDA tools. The emphasis is on modular and robust designs, reusable modules, correctness by construction, architectural exploration, and meeting the area, timing, and power constraints within standard cell and FPGA frameworks.

Physics, modeling, application, and technology of compound semiconductors (primarily III-Vs) in electronic, optoelectronic, and photonic devices and integrated circuits. Topics: properties, preparation, and processing of compound semiconductors; theory and practice of heterojunctions, quantum structures, and pseudomorphic strained layers; metal-semiconductor field effect transistors (MESFETs); heterojunction field effect transistors (HFETs) and bipolar transistors (HBTs); and optoelectronic devices.

Theory for programmers. Introduction to programming and computability theory based on a term-rewriting, "substitution" model of computation by Scheme programs with side-effects. Computation as algebraic manipulation: provable and valid inequalities for multivariate polynomials. Scheme evaluation as algebraic manipulation and term rewriting theory. Paradoxes from self-application and introduction to formal programming semantics. Undecidability of the Halting Problem for Scheme. Properties of recursively enumerable sets, leading to Incompleteness Theorems for Scheme equivalences. Introduction to logic for program specification and verification. Hilbert's Tenth Problem. Alternate years. 6.844 is a graduate introduction to programming theory, logic of programming, and computability, with the programming language Scheme used to crystallize computability constructions and as an object of study itself. Topics covered include: programming and computability theory based on a term-rewriting, "substitution" model of computation by Scheme programs with side-effects; computation as algebraic manipulation: Scheme evaluation as algebraic manipulation and term rewriting theory; paradoxes from self-application and introduction to formal programming semantics; undecidability of the Halting Problem for Scheme; properties of recursively enumerable sets, leading to Incompleteness Theorems for Scheme equivalences; logic for program specification and verification; and Hilbert's Tenth Problem.

This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes? What are the inductive principles that allow us to acquire new knowledge from the interaction of prior knowledge with observed data? What kinds of data must be available to human learners, and what kinds of innate knowledge (if any) must they have?

Why has it been easier to develop a vaccine to eliminate polio than to control influenza or AIDS? Has there been natural selection for a 'language gene'? Why are there no animals with wheels? When does 'maximizing fitness' lead to evolutionary extinction? How are sex and parasites related? Why don't snakes eat grass? Why don't we have eyes in the back of our heads? How does modern genomics illustrate and challenge the field? This course analyzes evolution from a computational, modeling, and engineering perspective. The course has extensive hands-on laboratory exercises in model-building and analyzing evolutionary data.

Study and discussion of computational approaches and algorithms for contemporary problems in functional genomics. Topics include DNA chip design, experimental data normalization, expression data representation standards, proteomics, gene clustering, self-organizing maps, Boolean networks, statistical graph models, Bayesian network models, continuous dynamic models, statistical metrics for model validation, model elaboration, experiment planning, and the computational complexity of functional genomics problems.

This course is a graduate level introduction to automatic discourse processing. The emphasis will be on methods and models that have applicability to natural language and speech processing. The class will cover the following topics: discourse structure, models of coherence and cohesion, plan recognition algorithms, and text segmentation. We will study symbolic as well as machine learning methods for discourse analysis. We will also discuss the use of these methods in a variety of applications ranging from dialogue systems to automatic essay writing. This subject qualifies as an Artificial Intelligence and Applications concentration subject.

Introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience required. 6.837 offers an introduction to computer graphics hardware, algorithms, and software. Topics include: line generators, affine transformations, line and polygon clipping, splines, interactive techniques, perspective projection, solid modeling, hidden surface algorithms, lighting models, shading, and animation. Substantial programming experience is required.

This course analyzes issues associated with the implementation of higher-level programming languages. Topics covered include: fundamental concepts, functions, and structures of compilers, the interaction of theory and practice, and using tools in building software. The course includes a multi-person project on compiler design and implementation.

Topics on the engineering and analysis of network protocols and architecture, including: architectural principles for designing heterogeneous networks; congestion control; unicast and multicast routing; wireless and mobile networking; network quality of service; router design; network security; streaming and multicast applications; naming; content distribution; and peer-to-peer networking. Readings from original research papers, industry white papers, and Internet RFCs. Semester-long project and paper.

This textbook covers the traditional introductory Computer Science I topics but takes a unique approach. Topics are covered in a language-agnostic manner in the first part with supplemental parts that cover the same concepts in a specific language. The current version covers C, Java, and PHP. This textbook as been used in several Computer Science I sections over multiple years at the University of Nebraska-Lincoln.

Emphasizes the relationship among technology, hardware organization, and programming systems in the evolution of computer architecture. Pipelined, out-of-order, and speculative execution. Superscaler, VLIW, vector, and multithreaded processors. Addressing structures and virtual memory, and exception handling. I/O and memory systems. Parallel computers; message passing and shared memory systems. Memory models, synchronization, and cache coherence protocols. Vector supercomputers. Assumes an undergraduate knowledge of computer systems.