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CS 111.01 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55022

Aaron W Bauer

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL1 (Synonym 55025)

CS 111.02 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 55023

Layla K Oesper

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

Sophomore Priority

Waitlist for Juniors and Seniors: CS 111.WL2 (Synonym 55026)

CS 111.03 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55024

Tanya M Amert

This course will introduce you to computer programming and the design of algorithms. By writing programs to solve problems in areas such as image processing, text processing, and simple games, you will learn about recursive and iterative algorithms, complexity analysis, graphics, data representation, software engineering, and object-oriented design. No previous programming experience is necessary. Students who have received credit for Computer Science 201 or above are not eligible to enroll in Computer Science 111.

CS 201.01 Data Structures 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Weitz Center 138

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 55027

Amy Csizmar Dalal

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem"? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

CS 201.02 Data Structures 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55028

Anna N Rafferty

Think back to your favorite assignment from Introduction to Computer Science. Did you ever get the feeling that "there has to be a better/smarter way to do this problem"? The Data Structures course is all about how to store information intelligently and access it efficiently. How can Google take your query, compare it to billions of web pages, and return the answer in less than one second? How can one store information so as to balance the competing needs for fast data retrieval and fast data modification? To help us answer questions like these, we will analyze and implement stacks, queues, trees, linked lists, graphs, and hash tables. Students who have received credit for a course for which Computer Science 201 is a prerequisite are not eligible to enroll in Computer Science 201.

Prerequisite: Computer Science 111 or instructor permission

Sophomore Priority

Waitlist for Juniors and Seniors: CS 201.WL2 (Synonym 55029)

CS 208.00 Computer Organization and Architecture 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 55041

Aaron W Bauer

Computer processors are extraordinarily complex systems. The fact that they work at all, let alone as reliably as they do, is a monumental achievement of human collaboration. In this course, we will study the structure of computer processors, with attention to digital logic, assembly language, performance evaluation, computer arithmetic, data paths and control, pipelining, and memory hierarchies.

Prerequisite: Computer Science 111 or instructor permission

CS 252.00 Algorithms 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Leighton 304

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55030

David Liben-Nowell

A course on techniques used in the design and analysis of efficient algorithms. We will cover several major algorithmic design paradigms (greedy algorithms, dynamic programming, divide and conquer, and network flow). Along the way, we will explore the application of these techniques to a variety of domains (natural language processing, economics, computational biology, and data mining, for example). As time permits, we will include supplementary topics like randomized algorithms, advanced data structures, and amortized analysis.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

CS 254.00 Computability and Complexity 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55031

Josh Davis

An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.

Prerequisite: Computer Science 111 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202)

CS 257.00 Software Design 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Weitz Center 235

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 55893

Amy Csizmar Dalal

It's easy to write a mediocre computer program, and lots of people do it. Good programs are quite a bit harder to write, and are correspondingly less common. In this course, we will study techniques, tools, and habits that will improve your chances of writing good software. While working on several medium-sized programming projects, we will investigate code construction techniques, debugging and profiling tools, testing methodologies, UML, principles of object-oriented design, design patterns, and user interface design.

Prerequisite: Computer Science 201 or instructor permission

CS 312.00 Audio Programming 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Weitz Center 138 / Weitz Center 233

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
1:50pm3:00pm
Synonym: 55894

John Ellinger

Students will learn the basics of MIDI and Digital Audio programming using C++. In the MIDI portion of the course, you’ll learn to record, play, and transform MIDI data. During the Digital Audio portion of the course, you’ll learn the basics of audio synthesis: oscillators, envelopes, filters, amplifiers, and FFT analysis. Weekly homework assignments, two quizzes, and two independent projects.

Prerequisite: Computer Science 201 or instructor permission

CS 330.00 Introduction to Real-Time Systems 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Weitz Center 133

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 55886

Tanya M Amert

How can we prove that dynamic cruise control will brake quickly enough if traffic suddenly stops? How must a system coordinate processes to detect pedestrians and other vehicles to ensure fair sharing of computing resources? In real-time systems, we explore scheduling questions like these, which require provable guarantees of timing constraints for applications including autonomous vehicles. This course will start by considering such questions for uniprocessor machines, both when programs have static priorities and when priorities can change over time. We will then explore challenges introduced by modern computers with multiple processors. We will consider both theoretical and practical perspectives.

Prerequisite: Computer Science 201 and Computer Science 202 (Mathematics 236 will be accepted in lieu of Computer Science 202).

CS 344.00 Human-Computer Interaction 6 credits

Open: Size: 34, Registered: 0, Waitlist: 0

Weitz Center 235

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 55043

Sneha Narayan

The field of human-computer interaction addresses two fundamental questions: how do people interact with technology, and how can technology enhance the human experience? In this course, we will explore technology through the lens of the end user: how can we design effective, aesthetically pleasing technology, particularly user interfaces, to satisfy user needs and improve the human condition? How do people react to technology and learn to use technology? What are the social, societal, health, and ethical implications of technology? The course will focus on design methodologies, techniques, and processes for developing, testing, and deploying user interfaces.

Prerequisite: Computer Science 201 or instructor permission

LING 110.00 Introduction to Linguistics 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Goodsell 03

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55257

Jenna T Conklin

The capacity to acquire and use natural languages such as English is surely one of the more remarkable features of human nature. In this course, we explore several aspects of this ability. Topics include the sound systems of natural languages, the structure of words, principles that regulate word order, the course of language acquisition in children, and what these reveal about the nature of the mind.

LING 115.00 Introduction to the Theory of Syntax 6 credits

Open: Size: 20, Registered: 0, Waitlist: 0

Weitz Center 231

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 55260

Mike Flynn

This course is organized to enable the student to actively participate in the construction of a rather elaborate theory of the nature of human cognitive capacity to acquire and use natural languages. In particular, we concentrate on one aspect of that capacity: the unconscious acquisition of a grammar that enables a speaker of a language to produce and recognize sentences that have not been previously encountered. In the first part of the course, we concentrate on gathering notation and terminology intended to allow an explicit and manageable description. In the second part, we depend on written and oral student contributions in a cooperative enterprise of theory construction.

LING 216.00 Generative Approaches to Syntax 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Weitz Center 235

MTWTHF
1:15pm3:00pm1:15pm3:00pm
Synonym: 55261

Cherlon L Ussery

This course has two primary goals: to provide participants with a forum to continue to develop their analytical skills (i.e. to 'do syntax'), and to acquaint them with generative syntactic theory, especially the Principles and Parameters approach. Participants will sharpen their technological acumen, through weekly problem solving, and engage in independent thinking and analysis, by means of formally proposing novel syntactic analyses for linguistic phenomena. By the conclusion of the course, participants will be prepared to read and critically evaluate primary literature couched within this theoretical framework.

Prerequisite: Linguistics 115

MATH 111.01 Introduction to Calculus 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 54641

Michael P Cohen

An introduction to the differential and integral calculus. Derivatives, antiderivatives, the definite integral, applications, and the fundamental theorem of calculus.

Prerequisite: Requires placement via the Calculus Placement Exam 1, see Mathematics web page. Not open to students who have received credit for Mathematics 101.

MATH 120.01 Calculus 2 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54642

Deanna B Haunsperger

Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 120.02 Calculus 2 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 54643

Caroline L Turnage-Butterbaugh

Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 120.03 Calculus 2 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
3:10pm4:20pm3:10pm4:20pm3:30pm4:30pm
Synonym: 54644

Rob Thompson

Inverse functions, integration by parts, improper integrals, modeling with differential equations, vectors, calculus of functions of two independent variables including directional derivatives and double integrals, Lagrange multipliers.

Prerequisite: Mathematics 101, 111, score of 4 or 5 on Calculus AB Exam, score of 5, 6, or 7 on Mathematics IB exam or placement via a Carleton placement exam. Not open to students who have received credit for Math 211 or have a score of 4 or 5 on the AP Calculus BC ex

MATH 210.01 Calculus 3 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54645

Caroline L Turnage-Butterbaugh

Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

Prerequisite: Math 120.

MATH 210.02 Calculus 3 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 54646

Alex Barrios

Vectors, curves, calculus of functions of three independent variables, including directional derivatives and triple integrals, cylindrical and spherical coordinates, line integrals, Green's theorem, sequences and series, power series, Taylor series.

Prerequisite: Math 120.

MATH 211.00 Introduction to Multivariable Calculus 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 54647

Kate Hake

Vectors, curves, partial derivatives, gradient, multiple and iterated integrals, line integrals, Green's theorem.

Prerequisite: Mathematics 121 or placement via Calculus Placement Exam #3

MATH 215.01 Introduction to Statistics 6 credits

Open: Size: 32, Registered: 0, Waitlist: 0

Language & Dining Center 104

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54648

Tom Madsen

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

MATH 215.02 Introduction to Statistics 6 credits

Open: Size: 31, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 54649

Katie St. Clair

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

Sophomore Priority

Waitlist for Juniors and Seniors: MATH 215.WL2 (Synonym 54652)

MATH 215.03 Introduction to Statistics 6 credits

Open: Size: 28, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 54650

Owen D Biesel

Introduction to statistics and data analysis. Practical aspects of statistics, including extensive use of statistical software, interpretation and communication of results, will be emphasized. Topics include: exploratory data analysis, correlation and linear regression, design of experiments, basic probability, the normal distribution, randomization approach to inference, sampling distributions, estimation, hypothesis testing, and two-way tables. Students who have taken Mathematics 211 are encouraged to consider the more advanced Mathematics 265-275 Probability-Statistics sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Math 275.

Sophomore Priority

Waitlist for Juniors and Seniors: MATH 215.WL3 (Synonym 54651)

MATH 232.01 Linear Algebra 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

Weitz Center 132

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 54653

Michael P Cohen

Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues.

Prerequisite: Mathematics 120 or 211

MATH 232.02 Linear Algebra 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 54654

Alex Barrios

Vector spaces, linear transformations, determinants, inner products and orthogonality, eigenvectors and eigenvalues.

Prerequisite: Mathematics 120 or 211

MATH 236.00 Mathematical Structures 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

CMC 319

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 54655

Rafe Jones

Basic concepts and techniques used throughout mathematics. Topics include logic, mathematical induction and other methods of proof, problem solving, sets, cardinality, equivalence relations, functions and relations, and the axiom of choice. Other topics may include: algebraic structures, graph theory, and basic combinatorics.

Prerequisite: Mathematics 232 and either Mathematics 210 or Mathematics 211

MATH 241.00 Ordinary Differential Equations 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

Leighton 304

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm

Other Tags:

Synonym: 54656

Rob Thompson

An introduction to ordinary differential equations, including techniques for finding solutions, conditions under which solutions exist, and some qualitative analysis.

Prerequisite: Mathematics 232 or instructor permission

MATH 245.00 Applied Regression Analysis 6 credits

Open: Size: 24, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 54657

Laura M Chihara

A second course in statistics covering simple linear regression, multiple regression and ANOVA, and logistic regression. Exploratory graphical methods, model building and model checking techniques will be emphasized with extensive use of statistical software to analyze real-life data.

Prerequisite: Mathematics 215 (or equivalent) or 275

MATH 265.00 Probability 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 210

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm

Other Tags:

Synonym: 54658

Tom Madsen

Introduction to probability and its applications. Topics include discrete probability, random variables, independence, joint and conditional distributions, expectation, limit laws and properties of common probability distributions.

Prerequisite: Mathematics 120 or 211

MATH 275.00 Introduction to Statistical Inference 6 credits

Open: Size: 32, Registered: 0, Waitlist: 0

CMC 301

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am

Other Tags:

Synonym: 54659

Laura M Chihara

Introduction to modern mathematical statistics. The mathematics underlying fundamental statistical concepts will be covered as well as applications of these ideas to real-life data. Topics include: resampling methods (permutation tests, bootstrap intervals), classical methods (parametric hypothesis tests and confidence intervals), parameter estimation, goodness-of-fit tests, regression, and Bayesian methods. The statistical package R will be used to analyze data sets.

Prerequisite: Mathematics 265

MATH 280.00 Statistical Consulting 2 credits, S/CR/NC only

Closed: Size: 0, Registered: 0, Waitlist: 0

CMC 201

MTWTHF
10:10am11:55am

Other Tags:

Synonym: 54660

Adam Loy

Students will apply their statistical knowledge by analyzing data problems solicited from the Northfield community. Students will also learn basic consulting skills, including communication and ethics.

Prerequisite: Mathematics 245 and instructor permission

Waitlist Only. Instructor Permission required.

MATH 285.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

CMC 102

MTWTHF
8:30am9:40am8:30am9:40am8:30am9:30am
Synonym: 54661

Katie St. Clair

This course will cover the computational side of data analysis, including data acquisition, management and visualization tools. Topics may include: data scraping, clean up and manipulation, data visualization using packages such as ggplots, understanding and visualizing spatial and network data, and supervised and unsupervised classification methods. We will use the statistics software R in this course.

Prerequisite: Mathematics 215 or Mathematics 275

MATH 331.00 Real Analysis II 6 credits

Open: Size: 23, Registered: 0, Waitlist: 0

CMC 319

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm

Other Tags:

Synonym: 54674

Gail S Nelson

Further topics in analysis such as measure theory, Lebesgue integration or Banach and Hilbert spaces.

Prerequisite: Mathematics 321 or instructor permission

MATH 333.00 Combinatorial Theory 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

CMC 206

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm

Other Tags:

Synonym: 53413

Mark Krusemeyer

The study of structures involving finite sets. Counting techniques, including generating functions, recurrence relations, and the inclusion-exclusion principle; existence criteria, including Ramsey's theorem and the pigeonhole principle. Some combinatorial identities and bijective proofs. Other topics may include graph and/or network theory, Hall's ("marriage") theorem, partitions, and hypergeometric series.

Prerequisite: Mathematics 236 or instructor permission

MATH 342.00 Abstract Algebra I 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

CMC 209

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm

Other Tags:

Synonym: 53414

Eric S Egge

Introduction to algebraic structures, including groups, rings, and fields. Homomorphisms and quotient structures, polynomials, unique factorization. Other topics may include applications such as Burnside's counting theorem, symmetry groups, polynomial equations, or geometric constructions.

Prerequisite: Mathematics 236 or instructor permission

MATH 354.00 Topology 6 credits

Open: Size: 23, Registered: 0, Waitlist: 0

CMC 319

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am

Other Tags:

Synonym: 54675

Kate Hake

An introduction to the study of topological spaces. We develop concepts from point-set and algebraic topology in order to distinguish between different topological spaces up to homeomorphism. Topics include methods of construction of topological spaces; continuity, connectedness, compactness, Hausdorff condition; fundamental group, homotopy of maps.

Prerequisite: Mathematics 236 or instructor permission

PHIL 210.00 Logic 6 credits

Open: Size: 25, Registered: 0, Waitlist: 0

Leighton 426

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 55075

Douglas B Marshall

The study of formal logic has obvious and direct applicability to a wide variety of disciplines (including mathematics, computer science, linguistics, philosophy, cognitive science, and many others). Indeed, the study of formal logic helps us to develop the tools and know-how to think more clearly about arguments and logical relationships in general; and arguments and logical relationships form the backbone of any rational inquiry. In this course we will focus on propositional logic and predicate logic, and look at the relationship that these have to ordinary language and thought.

PSYC 200.00 Measurement and Data Analysis in Psychology 6 credits

Open: Size: 30, Registered: 0, Waitlist: 0

Music & Drama Center LL35

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am

Other Tags:

Synonym: 55346

Mija M Van Der Wege

The course considers the role of measurement and data analysis focused on behavioral sciences. Various forms of measurement and standards for the evaluation of measures are explored. Students learn how to summarize, organize, and evaluate data using a variety of techniques that are applicable to research in psychology and other disciplines. Among the analyses discussed and applied are tests of means, various forms of analysis of variance, correlation and regression, planned and post-hoc comparisons, as well as various non-parametric tests. Research design is also explored.

Prerequisite: Psychology 110 or instructor consent; Requires concurrent registration in Psychology 201

PSYC 201 required.

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