ENROLL Course Search

NOTE: There are some inconsistencies in the course listing data - ITS is looking into the cause.

Alternatives: For requirement lists, please refer to the current catalog. For up-to-the-minute enrollment information, use the "Search for Classes" option in The Hub. If you have any other questions, please email registrar@carleton.edu.

Saved Courses (0)

Your search for courses for 22/FA and with code: DGAHSKILLBLDG found 10 courses.

Revise Your Search New Search

ARCN 246.52 Archaeological Methods & Lab 6 credits

Open: Size: 20, Registered: 17, Waitlist: 0

Anderson Hall 121

MTWTHF
8:15am10:00am8:15am10:00am
1:00pm5:00pm
Synonym: 64055

Sarah A Kennedy

As a field that is truly interdisciplinary, archaeology uses a wide range of methods to study the past. This course provides a hands-on introduction to the entire archaeological process through classroom, field, and laboratory components. Students will participate in background research concerning local places of historical or archaeological interest; landscape surveying and mapping in GIS; excavation; the recording, analysis, and interpretation of artifacts; and the publication of results. This course involves real archaeological fieldwork, and students will have an opportunity to contribute to the history of the local community while learning archaeological methods applicable all over the world.

Sophomore priority

Waitlist for Juniors and Seniors: ARCN 246.WL2 (Synonym 64056)

CAMS 111.01 Digital Foundations 6 credits

Closed: Size: 12, Registered: 13, Waitlist: 0

Weitz Center 138 / Weitz Center 133

MTWTHF
12:30pm3:00pm12:30pm3:00pm

Requirements Met:

Synonym: 64212

Laska Jimsen

This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.

Sophomore Priority. Extra Time required.

Waitlist for Juniors and Seniors: CAMS 111.WL1 (Synonym 64214)

CS 111.01 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 31, Waitlist: 0

Olin 310

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 64250

David R Musicant

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.

Waitlist for Juniors and Seniors: CS 111.WL1 (Synonym 64252)

CS 111.02 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 30, Waitlist: 0

Olin 310

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 64249

David R Musicant

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 64253)

CS 111.03 Introduction to Computer Science 6 credits

Open: Size: 34, Registered: 27, Waitlist: 0

Olin 310

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 64251

Anya E Vostinar

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.

MUSC 108.00 Introduction to Music Technology 6 credits

Closed: Size: 20, Registered: 20, Waitlist: 0

Weitz Center 138

MTWTHF
10:10am11:55am10:10am11:55am

Requirements Met:

Synonym: 64015

Andrea Mazzariello

A course in using the computer to make meaningful interventions into our practices as musicians. We'll explore a number of approaches to composing, producing, and hearing music, among them coding, visual programming, and working in a digital audio workstation. Students will ultimately combine and hybridize these different methods in order to create unique, individual systems, using them to make new work. Open to all interested students; no prior experience with music, programming, or production required.

STAT 120.01 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 31, Waitlist: 0

CMC 206

MTWTHF
9:50am11:00am9:50am11:00am9:40am10:40am
Synonym: 65243

Andy N Poppick

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Formerly Mathematics 215

STAT 120.02 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 32, Waitlist: 0

CMC 102

MTWTHF
12:30pm1:40pm12:30pm1:40pm1:10pm2:10pm
Synonym: 65244

Claire E Kelling

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Formerly Mathematics 215

STAT 120.03 Introduction to Statistics 6 credits

Closed: Size: 32, Registered: 30, Waitlist: 0

CMC 102

MTWTHF
1:50pm3:00pm1:50pm3:00pm2:20pm3:20pm
Synonym: 65245

Claire E Kelling

(Formerly MATH 215) 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 240/Statistics 250 (formerly Mathematics 265 and 275) Probability/Statistical Inference sequence.

Prerequisite: Not open to students who have already received credit for Psychology 200/201, Sociology/Anthropology 239 or Statistics 250 (formerly Mathematics 275).

Formerly Mathematics 215

STAT 220.00 Introduction to Data Science 6 credits

Open: Size: 30, Registered: 16, Waitlist: 0

CMC 102

MTWTHF
11:10am12:20pm11:10am12:20pm12:00pm1:00pm
Synonym: 65246

Deepak Bastola

(Formerly Mathematics 285) This course will cover the computational side of data analysis, including data acquisition, management, and visualization tools. Topics may include: data scraping, data wrangling, data visualization using packages such as ggplots, interactive graphics using tools such as Shiny, supervised and unsupervised classification methods, and understanding and visualizing spatial data. We will use the statistics software R in this course.

Prerequisite: Statistics 120 (formerly Mathematics 215), Statistics 230 (formerly Mathematics 245) or Statistics 250 (formerly Mathematics 275)

Formerly Mathematics 285

Search for Courses

This data updates hourly. For up-to-the-minute enrollment information, use the Search for Classes option in The Hub

Instructional Mode
Class Period
Courses or labs meeting at non-standard times may not appear when searching by class period.
Requirements
You must take 6 credits of each of these.
Overlays
You must take 6 credits of each of these,
except Quantitative Reasoning, which requires 3 courses.
Special Interests