Computer Science

A continued study of computer science foundations as begun In Computer Science I. An object-oriented language such as JAVA is used to develop and implement large programs involving various data structures and data abstraction as exemplified by packages and modules. Search, sorting, advanced data structures, programming methodology and analysis are emphasized. 

4 CreditsNPrerequisites: CS110 and MA116 or MA210. 

The students will prepare a portfolio of basic Unix programs and scripts. The course covers basic Unix commands, editing techniques, regular expression usage, and script building. The programs are reviewed, critiqued, and the student has an opportunity to revise them as needed for final inclusion in the portfolio. 

1 CreditsN,CTGESPrerequisites: CS110. 

An introduction to the issues of software design. Topics include software engineering, software project management and development of projects in a modern design environment. The focus of the course is on the process used to develop quality software. The students work in teams to develop, implement and fully document a computer project to apply these concepts. 

3 CreditsNPrerequisite: CS240. 

An introduction to both the hardware and software utilized in computer graphics. The emphasis is on a top-down, programming approach, using a standard application programmer's interface. Students will create three-dimensional and interactive applications, in addition to studying several of the classic, low-level, rendering algorithms. 

3 CreditsNPrerequisite: CS-240.

This course begins with an introduction to fundamental concepts in Scientific Computing and concludes with domain-specific projects in areas like Bioinformatics, Data Science, Physical Systems, and Numerical Analysis. The common content will include command-line interfaces (Linux), programming languages (Jupyter/Python), numerical and graphical libraries (NumPy and Matplotlib), version-control (Git/Github), and relational databases (SQL).

3 CreditsNPre-Req: CS-110

This course will introduce the student to studying Computer Science in Germany. During the spring semester at Juniata, students will prepare for their travel to Germany by: (1) studying the " functional " German required for travel, (2) reading about the culture and history of the country (and the state of North Rhine-Westfalia in particular), and (3) configuring the technology required for that years selected topic in CS or IT (the course content will vary each year, previous topics have included Graphical Programming, Security Engineering, and Compiler Construction). This course culminates with its co-requisite course, CS 391, which is given at the Muenster University of Applied Sciences, for between two and three weeks each May or June. The instructor at MUAS will be a Juniata College faculty member. 

1 CreditsIPre-requisites will be CS240 and instructor permission. Co-requisite is CS391. Completion of both CS390 and CS391 will fulfill the I designation. A fee of $1,200 is applied and it cover instructional costs,tuition, and Juniata College credit. Students will need to purchase their own plane and train fares. The host institution will facilitate housing for the students. 

This course is given at the Muenster University of Applied Sciences, for between two and three weeks each May or June. The instructor at MUAS will be a Juniata College faculty member. Pre-requisites: CS-240 and instructor permission. A fee of $1,200 is applied that is split between the spring and summer terms and covers instructional costs, tuition, and Juniata College credit. Students will need to purchase their own plane and train fares. The host institution will facilitate housing for the students.

2 CreditsI,SW-GE

Allows students to carry out the independent computer science research project as designed in CS480 or CS481. 

3-5 CreditsN,CWPrerequisite: CS480 or CS481. 

This course introduces the student to the emerging field of data science through the presentation of basic math and statistics principles, an introduction to the computer tools and software commonly used to perform the data analytics, and a general overview of the machine learning techniques commonly applied to datasets for knowledge discovery. The students will identify a dataset for a final project that will require them to perform preparation, cleaning, simple visualization and analysis of the data with such tools as Excel and R. Understanding the varied nature of data, their acquisition and preliminary analysis provides the requisite skills to succeed in further study and application of the data science field. Prerequisite: comfort with pre-calculus topics and use of computers.

3 CreditsN 

Students will understand how to access various data types and sources, from flat file formats to databases to big storage data architecture. Students will perform transformations, cleaning, and merging of datasets in preparation for data mining and analysis. 

3 CreditsNPRE-REQ: CS 110 and DS 110. 

This course considers the use of machine learning (ML) and data mining (DM) algorithms for the data scientist to discover information embedded in datasets from the simple tables through complex and big data sets. Topics include ML and DM techniques such as classification, clustering, predictive and statistical modeling using tools such as R, Matlab, Weka and others. Simple visualization and data exploration will be covered in support of the DM. Software techniques implemented the emerging storage and hardware structures are introduced for handling big data. 

3 CreditsNPrerequisite: CS-110, DS-110, and an approved statistics course from this list: MA-205, MA-220, BI-305, PY-214, PY-260, PY-366, or EB- 211. 

This course considers the management and processing of large data sets, structured, semi-structured, and unstructured. The course focuses on modern, big data platforms such as Hadoop and NoSQL frameworks. Students will gain experience using a variety of programming tools and paradigms for manipulating big data sets on local servers and cloud platforms. 

3 CreditsNPrerequisites: DS 110 Intro to Data Science and CS 370 Database Management Systems 

This course provides a context for further study in information technology. Topics include an overview of the fundamentals of information systems, current and emerging technologies, business applications, communications and decision making, and the impact of these systems on business, government, and society. This course will also emphasize the development of both writing and speaking skills through application of the concepts that define the course. Students who have passed IT-111 or IM-110 may not take this course.

3 CreditsS 

Focuses on the concept of the foundations of a network in both design and support. The OSI reference model will be examined along with techniques for supporting current technologies that align with each other. Emphasis will be placed on protocols, topologies and traffic analysis. 

4 CreditsNPrerequisites: CS240 or IT210. 

A study of modern web design along with an examination of markup and scripting languages (e.g., HTML, JavaScript), page, image and multimedia formats, and the techniques in developing and managing a web site. Page design, graphical user interfaces, interactive techniques and the importance of e-commerce are also emphasized. 

2 Credits Prerequisites: CS110 or permission.

A study of the modern web programming environment, including introduction to Web 2.0 and Web 3.0, HTML, XHTML, and JavaScript. The class will address client-side scripting as well as server-side technology, and accessing a database. These technologies will be combined to create an active, dynamic web page. 

2 Credits Prerequisite: CS-240. Corequisite: IT-341. 

This course will focus on the area of computer security. Included will be information on attacks, prevention, as well as protection from non-malicious threats. It will look at network as well as web based security. A focus will be on creating secure computer environments from the ground up, not as an afterthought. 

3 CreditsNPrerequisites: IT210 and junior standing or permission of the instructor. 

This course is a laboratory course with hands-on activities to supplement the instruction given in the IT350, Security Engineering course. The lab activities will center on digital forensics, hacker exploits and protection techniques, penetration testing and vulnerability analysis. 

1 Credits Co-requisite IT350. 

See IT308. This course will have appointed class times for projects other than those listed on the schedule. A continuation of IT308. 

4 CreditsS,CTGISPrerequisites: IT307 & IT308 and senior standing. 

See IT380. This course will have appointed class times for projects other than those listed on the schedule. A continuation of IT380. 

4 CreditsS,CTGISPrerequisites: IT380 and senior standing. 

This course considers the various aspects of presenting digital information for public consumption visually. Data formats from binary, text, various file types, to relational databases and web sites are covered to understand the framework of information retrieval for use in visualization tools. Visualization and graphical analyses of data are considered in the context of the human visual system for appropriate information presentation. Various open-source and commercial digital tools are considered for development of visualization projects. 

3 CreditsN,CTDH,CTGESPrerequisite: IT 110, IT 111, IM 110, DS 110, or CS 110 or permission. 

An introduction to systems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues, and applications.

3 CreditsN, QMPrerequisites: MA130.

An introduction to the logical and set-theoretic basis of modern mathematics. Topics covered include propositional and predicate logic; induction; naive and axiomatic set theory, binary relations, mappings, infinite sets and cardinality; finite sets and combinatorics; and an introduction to the theory of computability. Students will learn to read and to express mathematical ideas in the set-theoretic idiom.

3 CreditsCWPrerequisites: MA160 or MA116 or PL208 or MA208 or permission of the instructor.

Expands the treatment of two-space using polar and parametric equations. Emphasizes multivariable calculus, including vectors in three dimensions, curves and surfaces in space, functions of several variables, partial differentiation, multiple integration, and applications.

4 CreditsN, QMPrerequisite: MA130

Integration, Taylor and Fourier series, and an introduction to differential equations, with applications and the use of the software package Maple. (Course meets four times per week and concludes at midterm.)

2 CreditsNNote: A student may receive credit for MA233 or MA235, but not for both. Prerequisite: MA130.

A continuation of the calculus sequence. Topics include methods of integration by Simpson's Rule, applications, Taylor and Fourier series; introduction to ordinary differential equations; integration in polar, cylindrical, and spherical coordinates; differential and integral vector calculus.

4 CreditsN, QMPrerequisites: MA230.

This course begins with an introduction to fundamental concepts in Scientific Computing and concludes with domain-specific projects in areas like Bioinformatics, Data Science, Physical Systems, and Numerical Analysis. The common content will include command-line interfaces (Linux), programming languages (Jupyter/Python), numerical and graphical libraries (NumPy and Matplotlib), version-control (Git/Github), and relational databases (SQL).

3 CreditsNPre-Req: CS-110

An introduction to the theory and application of analog and digital electronics, starting with basic AC and DC circuits. The unit explains the principles of operation of the power supply, amplifier, oscillator, logic circuits, micro controllers, and other basic circuits. An associated laboratory component allows construction of and measurements on the circuits under consideration. Note: a special fee is assessed.

3 CreditsN