Program Courses |
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Courses | Titles | Course Outlines | Goal Areas | Credits |
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Course Subject: CSCI Course Number:1040 Course Title:Fundamentals of Structured Query Language (SQL) Goal Areas:n/a Credits:3
Course Description:The goal of this course is to teach students how to design, build and use databases utilizing Microsoft SQL Server. The students will also learn to enter and retrieve information. They will learn SQL commands and query creation, including complex multi-table joins, and display and analyze query results. Students will design their own databases and deploy them on Microsoft SQL Server.Possessing skills in performing common Windows tasks working with applications, or taking CSci 1000, is highly recommended. | Fundamentals of Structured Query Language (SQL) and | View-CSCI 1040 | n/a | 3 |
Course Subject: CSCI Course Number:1130 Course Title:Introduction to Programming in Java (CS0) Goal Areas:n/a Credits:4
Course Description:This course provides an introduction to the Java programming language and its foundational topics. In this course students will explore fundamental programming and computing concepts with a focus on problem solving, algorithm development and implementation. Topics included are: data types and memory concepts, arithmetic operators and mathematical expressions, conditional statements, repetition, arrays, methods and the basics of object-orientation. | Introduction to Programming in Java (CS0) and | View-CSCI 1130 | n/a | 4 |
Course Subject: CSCI Course Number:2001 Course Title:Object Oriented Programming (CS1) Goal Areas:n/a Credits:4
Course Description:Students will learn object-oriented programming while creating algorithms.The basic principles of software engineering are emphasized. By doing their own Java projects, students will developproblem-solving skills and gain experience in detecting and correcting software errors.Procedures, recursion, and iteration will be presented in the development of algorithms. Inheritance and polymorphism are studied. The use of abstraction will be emphasized throughout the course. | Object Oriented Programming (CS1) and | View-CSCI 2001 | n/a | 4 |
Course Subject: CSCI Course Number:2011 Course Title:Programming in Python Goal Areas:n/a Credits:1
Course Description:The course will introduce the Python Programming language in terms familiar to students experienced with writing simple, yet complete, programs in other languages. Additionally, the course will focus on utilities and features considered strengths in Python. This includes interfaces to specialized libraries and databases. Prerequisites: CSCI 1120 or CSCI 1130 or CSCI 1150 or CSCI 2001 or CSCI 2400 | Programming in Python and | View-CSCI 2011 | n/a | 1 |
Course Subject: CSCI Course Number:2030 Course Title:Database Modeling and Design Goal Areas:n/a Credits:4
Course Description:This course covers relational databases from conceptual design to implementation. The course will include logical and physical design, normalization, as well as the definition of tables and indexes. The use of Structured Query Language (SQL) for data retrieval and manipulation will be emphasized. Prerequisite: CSci 1040 and CSci 1120 or CSci 1130 or CSci 1150PLEASE NOTE: Students enrolled in CSCI 1040 can register for CSCI 2030 in anticipation of successful completion of CSCI 1040. Please contact Registration. | Database Modeling and Design and | View-CSCI 2030 | n/a | 4 |
Course Subject: DSCI Course Number:2001 Course Title:Data Science I Goal Areas:n/a Credits:4
Course Description:This course introduces students to the rapidly growing field of Data Science. Students will learn the concepts and tools used to analyze data sets and make informed business and/or research decisions. Students will use various software, including databases, to gather, organize and visualize data for analysis. | Data Science I and | View-DSCI 2001 | n/a | 4 |
Course Subject: DSCI Course Number:2002 Course Title:Data Science II Goal Areas:n/a Credits:4
Course Description:Provide students further exposure to the growing field of Data Science. Building upon the topics in Data Science I, students will learn about machine learning techniques, ways to deal with networked systems and extremely large data sets, and methods for improving the performance of computerized statistical models. | Data Science II | View-DSCI 2002 | n/a | 4 |
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Course Subject: DSCI Course Number:2009 Course Title:Interdisciplinary Applications in Data Science Goal Areas:n/a Credits:2
Course Description:This course provides a flexible in-depth review of interdisciplinary applications in Data Science. The curriculum has students independently explore and apply methods of Data Science in a real-world context related to their career interests. | Interdisciplinary Applications in Data Science | View-DSCI 2009 | n/a | 2 |
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Program Electives |
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Courses | Titles | Course Outlines | Goal Areas | Credits |
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Course Subject: CSCI Course Number:1150 Course Title:Programming in C# for .NET Goal Areas:n/a Credits:4
Course Description:This course provides an introduction to object-oriented programming using the C# programming language. The majority of the course will be on the semantics of the C# language, a major component of Microsoft .NET development environment. Topics include: Visual Studio .NET integrated development environment, selected value and reference types, control structures, operators and expressions, methods, classes, and inheritance. Completion of this class will prepare the student for advanced topics in C#. Prerequisite: Math 1150 with a grade of C or better | Programming in C# for .NET or | View-CSCI 1150 | n/a | 4 |
Course Subject: CSCI Course Number:1180 Course Title:Introduction to Linux Operating System Goal Areas:n/a Credits:4
Course Description:This course introduces Linux, a popular open-source operating system and a variety of Unix. Topics include installing and using Linux, the architecture of Linux, using the command-line shell, the file system, common utilities (including text editors), and the basics of shell scripting. Hands-on work with Linux is a central part of this class. Some experience in computer programming is recommended. | Introduction to Linux Operating System or | View-CSCI 1180 | n/a | 4 |
Course Subject: CSCI Course Number:2002 Course Title:Data Structures and Algorithms (CS2) Goal Areas:n/a Credits:4
Course Description:This course continues using abstract data types and the concepts presented in CSci 2001 and introduces stacks, queues, linked lists, and trees. This course also covers advanced programming topics of recursion, sorting methods, and complexity measures. This is an object-oriented programming course. | Data Structures and Algorithms (CS2) or | View-CSCI 2002 | n/a | 4 |
Course Subject: CSCI Course Number:2010 Course Title:Discrete Mathematical Structures Goal Areas:n/a Credits:4
Course Description:The course covers mathematical topics essential for work in computer science. Topics include: number bases, mathematical induction, sets, relations, functions, congruence, recursion, combinations and permutations, probability, graphs, trees, logic, Boolean algebra, and proof techniques. Computing related problems and examples are integrated throughout the course. Prerequisites: MATH 1150 College Algebra (Minimum grade: 1.67 GPA Equivalent) Or A score of 79 or higher on the College Level Math (0167) placement test Or An ACT math score of 26 or higher.Recommended: Any CSCI course numbered 1030 or above (Minimum grade: 1.67 GPA Equivalent) | Discrete Mathematical Structures or | View-CSCI 2010 | n/a | 4 |
Course Subject: MATH Course Number:2000 Course Title:Discrete Mathematical Structures Goal Areas:n/a Credits:4
Course Description:The course covers mathematical topics essential for work in computer science. Topics include: number bases, mathematical induction, sets, relations, functions, congruence, recursion, combinations and permutations, probability, graphs, trees, logic, Boolean algebra, and proof techniques. Computing related problems and examples are integrated throughout the course. Prerequisites: MATH 1150 College Algebra (Minimum grade: 1.67 GPA Equivalent) Or A score of 79 or higher on the College Level Math (0167) placement test Or An ACT math score of 26 or higher | Discrete Mathematical Structures | View-MATH 2000 | n/a | 4 |
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General Education Courses |
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Courses | Titles | Course Outlines | Goal Areas | Credits |
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Course Subject: ENGL Course Number:1200 Course Title:Gateway College Writing Goal Areas:n/a Credits:4
Course Description:This class provides extended practice in critical reading, writing, and thinking skills. Students will develop an effective writing process and work to achieve college-level competence in reading and responding to texts, visuals, events, and ideas in a variety of written formats, with an emphasis on the academic essay. Audience awareness, interpretation and analysis, logical reasoning, and persuasive and argumentative skills will be developed. MLA style documentation of primary sources will be included. | Gateway College Writing or | View-ENGL 1200 | n/a | 4 |
Course Subject: ENGL Course Number:1201 Course Title:College Writing I Goal Areas:n/a Credits:4
Course Description:This class provides extended practice in critical reading, writing, and thinking skills. Students will develop an effective writing process and work to achieve college-level competence in reading and responding to texts, visuals, events, and ideas in a variety of written formats, with an emphasis on the academic essay. Audience awareness, interpretation and analysis, logical reasoning, and persuasive and argumentative skills will be developed. MLA style documentation of primary sources will be included. | College Writing I and | View-ENGL 1201 | n/a | 4 |
Course Subject: ENGL Course Number:1202 Course Title:College Writing II Goal Areas:n/a Credits:2
Course Description:This class focuses on the research process, textual analysis of primary and secondary sources, rhetorical strategies for argument and persuasion, and successful integration of sources into a longer academic paper utilizing MLA (or other, as appropriate) documentation format. The class may be disciplinary, interdisciplinary, or topical in content, as noted on the class registration site. | College Writing II and | View-ENGL 1202 | n/a | 2 |
Course Subject: COMM Course Number:1010 Course Title:Fundamentals of Public Speaking Goal Areas:n/a Credits:3
Course Description:This course provides instruction and practical experience in the basics of public speaking. This course has a performance component: students are expected to create and deliver informative, persuasive and other types of speeches. | Fundamentals of Public Speaking or | View-COMM 1010 | n/a | 3 |
Course Subject: COMM Course Number:1210 Course Title:Small Group Communication Goal Areas:n/a Credits:3
Course Description:This course examines communication in small groups. Students will participate in and analyze how small groups function, how leadership roles evolve, how decisions are made and how conflicts can be resolved. Students will work in small groups, complete group projects, and analyze group interaction. | Small Group Communication and | View-COMM 1210 | n/a | 3 |
Course Subject: ECON Course Number:1060 Course Title:Principles of Macroeconomics Goal Areas:n/a Credits:3
Course Description:This course covers mainstream theories, the economy's recent performance, national income and output levels, money and the banking system, inflation and unemployment, fiscal and monetary policies, economic growth, and international trade. | Principles of Macroeconomics or | View-ECON 1060 | n/a | 3 |
Course Subject: ECON Course Number:1070 Course Title:Principles of Microeconomics Goal Areas:n/a Credits:3
Course Description:This course covers theories of consumer and producer behavior as well as market structure, the role of government in the economy, distribution of income, externalities, and taxes. | Principles of Microeconomics or | View-ECON 1070 | n/a | 3 |
Course Subject: PSYC Course Number:1150 Course Title:General Psychology Goal Areas:n/a Credits:3
Course Description:This course provides an overview of topics in psychology. Topics may include history of psychology, research methods, physiological psychology, sensation and perception, consciousness, learning, memory, motivation and emotion, personality, stress and coping, abnormal behavior, therapy, and social psychology. Students are strongly encouraged to check with an advisor to determine if this is the appropriate course for their degree/program. You must meet perquisites or obtain instructor permission to take this course. | General Psychology and | View-PSYC 1150 | n/a | 3 |
Course Subject: MATH Course Number:1150 Course Title:College Algebra Goal Areas:n/a Credits:3
Course Description:This college-level course continues the study of algebra conducted in the developmental algebra courses. Topics include polynomial, rational, inverse, exponential, and logarithmic functions and their applications. Additional topics include systems of non-linear equations, systems of linear equations, and matrices. Prerequisites: College math placement level or successful completion of Math 0970 or 0980 with grade of C or better | College Algebra and | View-MATH 1150 | n/a | 3 |
Course Subject: MATH Course Number:1210 Course Title:Applied Statistics Goal Areas:n/a Credits:4
Course Description:This course provides students with practical statistical tools for analyzing a variety of data. Students will learn how to choose which statistical test to implement, how to apply computer software to conduct tests, and how to interpret the statistical results. Topics include discussion of frequency distributions, measures of central tendency and variation, exploratory data analysis, probability, hypothesis testing and inferences about proportions and means (one and two populations), analysis of variance, correlation, linear regression, and nonparametric statistics. Prerequisites: College math placement above Math 1150 or successful completion of Math 1150 or higher with grade of C or better. | Applied Statistics | View-MATH 1210 | n/a | 4 |
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Natural Science - 1 lab course, 4 credits |
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Courses | Titles | Course Outlines | Goal Areas | Credits |
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ANTH1020(3), BIOL1000(4), BIOL1001(4), BIOL1002(4), BIOL1030(4), BIOL1101(4), BIOL1102(4), BIOL1120(3), BIOL1130(4), BIOL1140(4), BIOL1160(4), BIOL1200(4), BIOL1350(3), BIOL1360(4), BIOL1610(1), BIOL1650(1), BIOL2020(4), BIOL2030(4), BIOL2100(4), BIOL2111(4), BIOL2112(4), BIOL2360(4), CHEM1000(4), CHEM1010(4), CHEM1030(4), CHEM1061(4), CHEM1062(4), GEOG1010(3), GEOL1010(2), GEOL1020(2), GEOL1030(2), GEOL1040(2), GEOL1110(4), GEOL1120(4), GEOL1130(4), GEOL1150(4), GEOL1160(4), GEOL1850(3), GEOL1851(1), NSCI1000(4), NSCI1010(1), NSCI1020(1), NSCI1030(1), NSCI1050(4), NSCI1060(3), NSCI1061(1), NSCI1070(3), NSCI1071(1), NSCI1110(4), NSCI1120(4), PHYS1000(4), PHYS1030(4), PHYS1050(4), PHYS1060(3), PHYS1061(1), PHYS1070(3), PHYS1071(1), PHYS1120(4), PHYS1140(3), PHYS1201(5), PHYS1202(5), PHYS1400(3), PHYS1410(1), PHYS1450(3), PHYS1460(1), PHYS1601(5), PHYS1602(5)
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MnTC Electives |
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Courses | Titles | Course Outlines | Goal Areas | Credits |
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Electives from Goal Areas 6-10 (7 credits) |
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| Total Credits Required | 60 |