Sensemaking and Organizing (Spring 2025)
Sensemaking & Organizing
CogSci 150, 3 units, Spring 2025
Wheeler 20, Tu-Th 9:30-11:00 AM
TEACHING TEAM
Professor Robert J. Glushko
https://linguistics.berkeley.edu/~glushko/
glushko@berkeley.edu
Cynthia Chen
https://www.cynchen.me/
Links to an external site.
cynthia_chen@berkeley.edu
When something "makes sense” or "is organized” we are discovering or imposing order in the arrangement of concepts, events, or resources of some kind. Sensemaking and organizing are fundamental human activities that raise many multi- or trans-disciplinary questions about perception, language, knowledge, decision making, and interaction with things and with other people.
Organizing is an intentional activity, while sensemaking is often automatic or pre-attentive, especially in our perceptual systems. But this contrast isn't sharp; we often organize things using pre-attentive properties like color and shape to facilitate our interactions with them. "Scientific sensemaking" requires iterative observation, analysis, and introspection that can take years or centuries.
We can analyze sensemaking and organizing from four interrelated perspectives. The most fundamental one is provided by language and culture, which shapes the perspectives one takes as an individual, in institutional contexts governed by business or legal processes, or in data-intensive or scientific contexts.
COURSE FORMAT and GRADING
The course is lecture-based, but includes as much discussion, breakout sessions, and peer learning as is possible given the size of the class.
The expected workload should average 10 hours a week; 4 for the course meetings and 6 for preparation and deliverables. The load will be lighter at the beginning of the semester and heavier toward the end when students are researching and writing their case study, the most important work product for the course.
- 17 assignments, most of which can be completed in an hour (25%)
- 2 timed exams, administered by bCourses (35%; 15% for #1, 20% for #2)
- Case study (25%)
- Purpose: To reinforce the generality of the organizing system framework. After reading ten or more short case studies in the first few weeks of the course, students write one of their own as their course capstone. The best student cases end up in future syllabi
- Class preparation and participation (15%)
SCHEDULE AND READINGS
The primary text is The Discipline of Organizing, currently being revised to create a 5th edition. This text has been extensively revised since it was first published in 2013.
Readings from this text are indicated with “TDO” and a chapter or section number, a * after a number (like 4.1*) means the identified section and all of its subsections
Many readings are short case studies, some from the textbook and some written by students taking this or similar courses. Their diversity demonstrates the breadth of the organizing system concept.
Part 1: Introduction to Sensemaking and Organizing
[1 - Jan 21 Download 1 - Jan 21] Course introduction; the concept of the "Organizing System”
An Organizing System is an intentionally arranged collection of resources and the interactions they support. This definition doesn't specifically mention books, people, datasets, shoes, animals, or any other type of resource. This definition also doesn't mention any specific ways in which resources are used. Finally, this definition allows for any arrangement or structure that is needed to enable the interaction.
Because the Organizing System perspective can be applied to any kind of resource, it enables a more nuanced discussion of how the economic, social, and cognitive costs and benefits of organizing are allocated among different stakeholders and over time.
- Foundations for Organizing Systems, TDO v5 Chapter 1 Download Foundations for Organizing Systems, TDO v5 Chapter 1
Case Studies:
- Organizing a kitchen (Hardman 2013) Download Organizing a kitchen (Hardman 2013)
- Time Zones (Volkov 2015) Download Time Zones (Volkov 2015)
- Orchestra Seating Arrangements (Hsu 2018) Download Orchestra Seating Arrangements (Hsu 2018)
ASSIGNMENT 1 : Grandpa's Record Collection (due on 1/23)
[2 - Jan 23 Download 2 - Jan 23] Design Dimensions for Organizing Systems
This lecture introduces several broad design questions or dimensions whose intertwined answers define an Organizing System, including: What, why, how, for whom, when, by whom or what, and where. This framework for describing and comparing Organizing Systems overcomes the biases and conservatism built into familiar categories like libraries and museums while enabling us to describe them as design patterns. We can then use these patterns to support inter-disciplinary work that cuts across categories and applies knowledge about familiar domains to unfamiliar ones.
- Design Dimensions for Organizing Systems, TDO v5 Chapter 2 Download Design Dimensions for Organizing Systems, TDO v5 Chapter 2
Case Studies:
- Cookbooks (Park, 2024) Download Cookbooks (Park, 2024)
- From the fields to your plate: The Organizing System of lettuce production (Munoz 2023) Download From the fields to your plate: The Organizing System of lettuce production (Munoz 2023)
- The London Underground Map (Hansraj, 2023) Download The London Underground Map (Hansraj, 2023)
[3 - Jan 28
Download 3 - Jan 28] A Taxonomy of Structure; Sensemaking {and, or, vs.} Organizing
Sensemaking and Organizing are about discovering or imposing structure. This lecture starts by contrasting six categories of structure. The most important contrast is between structure that is created and structure that is discovered, and a second contrast is between structure that is created by intentional action and that which is self-organized by collective action or physical forces.
We'll then see how different academic fields – management, operations research, informatics, etc. – provide models or representations for describing structures and organizing systems. These different depictions, many from case studies you've read, distinguish and highlight different aspects of structure and organization.
- Sensemaking {and, or, vs.} Organizing. TDO v5 Chapter 3 Download Sensemaking {and, or, vs.} Organizing. TDO v5 Chapter 3
- Description, Representation, and Interactions. TDO v5 10.3 Download Description, Representation, and Interactions. TDO v5 10.3
Case Studies:
- Organized Crime (Sondhi 2015) Download Organized Crime (Sondhi 2015)
- Intentional Communities (Sauter 2016) Download Intentional Communities (Sauter 2016)
- The Spectrum of Pottery Production (Bar-Or 2023) Download The Spectrum of Pottery Production (Bar-Or 2023)
ASSIGNMENT 2 : Analyzing Resource Types and Organizing Principles (due on 1/30)
[4 - Jan 30 Download 4 - Jan 30] The Life Cycle of Organizing Activities
A perspective that brings together how we organize as individuals or as members of groups with how libraries, museums, governments, research institutions, and businesses create Organizing Systems requires that we generalize the organizing concepts and methods from these different domains.
This lecture surveys a wide variety of Organizing Systems and describes five activities or functions shared by all of them: domain scoping and resource selection, identifying requirements for interaction and organizing, organizing resources, designing resource-based interactions, and maintaining the interactions and resources over time.
- The Lifecycle of Organizing Activities, TDO v5 Chapter 4 Download The Lifecycle of Organizing Activities, TDO v5 Chapter 4
ASSIGNMENT 3 : Analyzing Activities (due on 2/4)
[5 - Feb 4 Download 5 - Feb 4] Resources
The design of an Organizing System is strongly shaped by what is being organized, the first of the design decisions introduced in the second lecture. To enable a broad perspective on this fundamental issue we use resource to refer to anything being organized, an abstraction that we can apply to physical things, people, digital things, information about either of them, or web-based services or objects.
Two separate aspects cut across the "thingness" distinctions:
- Granularity – do we think of the resource as unitary, or as consisting of parts?
- Abstraction – “thing” or “type of thing” – are we thinking of the resource as a single instance or as a member of a bigger category?
- Resource Identity and Identification, TDO v5 5.1, 5.2, 5.3 Download Resource Identity and Identification, TDO v5 5.1, 5.2, 5.3
Case Studies:
- Skate Parks (Cheung 2022) Download Skate Parks (Cheung 2022)
- Choral Ensembles (Nguyen 2023) Download Choral Ensembles (Nguyen 2023)
ASSIGNMENT 4 : Analyzing Your City (due on 2/7)
[6 - Feb 6 Download 6 - Feb 6] Names and Identifiers
A NAME is a label for some thing or some category that is used to distinguish one from another. If a name is used to refer to some specific thing and is unique in some context it is an IDENTIFIER. Choosing good names and identifiers is essential, difficult, and often contentious.
- Wheatley, M. (2004). Operation Clean Data, CIO Magazine. Download Wheatley, M. (2004). Operation Clean Data, CIO Magazine.
Case Study:
ASSIGNMENT 5 : Dwinelle Hall Names and Identifiers Download ASSIGNMENT 5 : Dwinelle Hall Names and Identifiers (due on 2/11)
GROUP DISCUSSION 1: Analyze Assignments 4 and 5 (2/11-2/17)
[7 - Feb 11 Download 7 - Feb 11] Resource Description
The principles by which resources are organized and the interactions that can be supported for them largely depend on the nature and explicitness of the resource descriptions.
[8 - Feb 13
Download 8 - Feb 13] Resource Properties Framework; Systems of Measurement; Describing Non-text Resources
Two important dimensions for understanding and contrasting resource properties used in descriptions and organizing principles are: property essence—whether the properties are intrinsically or extrinsically associated with the resource, and; property persistence—whether the properties are static or dynamic. Taken together these two dimensions yield four categories of properties.
Measurements are very commonly used descriptions. Systems of measurement are have evolved from ad hoc techniques for comparison, many of which were based on body parts or common work artifacts.
Non-text resources raise interesting questions about resource description and there are novel approaches to answering them.
- Revisit previously assigned TDO 5.2.1.2, 6.2.3, 6.4.5
- Cooperrider, K., and Gentner, D. (2019). The career of measurement. Cognition Download Cooperrider, K., and Gentner, D. (2019). The career of measurement. Cognition.
Case Studies
- Dabbawalas of Mumbai (Rathore 2014) Download Dabbawalas of Mumbai (Rathore 2014)
- Pantone Color System (Liu 2016) Download Pantone Color System (Liu 2016)
- Bharatantyam (Santhosh, 2024) Download Bharatantyam (Santhosh, 2024)
[9 - Feb 18 Download 9 - Feb 18] Describing Relationships and Structures, Part 1; Social Network Analysis Using Graph Theory
An organizing system can use existing relationships among resources, or it can create relationships by applying organizing principles to arrange the resources. We need a vocabulary for talking about these relationships precisely and consistently so that we can analyze, design, reason about them, and implement them in organizing systems. In fact, we need 4 different vocabularies because there are 4 different perspectives on relationships
This lecture introduces the structural perspective, which analyzes the patterns of association, arrangement, proximity, or connection between resources (and often ignores the reasons for them).
We can apply graph theory to understanding relationships from a structural perspective.
- Resource Relationships TDO v5 7.1, 7.2, 7.3.5 Download Resource Relationships TDO v5 7.1, 7.2, 7.3.5
ASSIGNMENT 6 : Social Graph Calculations (due on 2/20)
[10 - Feb 20 Download 10 - Feb 20] Describing Relationships and Structures, Part 2
This lecture introduces the specialized vocabulary used to describe semantic relationships between resources and between the concepts and words used in resource descriptions.
- Resource Relationships TDO v5 7.3, 7.4, and 7.5 Download Resource Relationships TDO v5 7.3, 7.4, and 7.5
ASSIGNMENT 7 : Designing and Defining a Taxonomy (due on 2/25)
GROUP DISCUSSION 2: Analyze Assignment 7 (2/25-3/4)
Part 2: Sensemaking and Organizing in Language and Culture
[11 - Feb 25 Download 11 - Feb 25] Introduction to Categorization; Category Structure
Categories are sets or groups of resources or abstract entities that are treated the same. Categories are cognitive and linguistic models for applying prior knowledge; creating and using categories are essential human activities. Categories are involved whenever we perceive, communicate, analyze, predict, classify – or otherwise attempt to make sense of our experiences.
Category structure refers to the principles by which a category is defined. Categories can be defined by enumerating their members, on the basis of one or more shared properties, or by less rigid principles like similarity.
- Categorization: Describing Resource Types TDO v5 Chapter 8 Download Categorization: Describing Resource Types TDO v5 Chapter 8
ASSIGNMENT 8 : Astronomical Awareness (due on 2/27)
[12 - Feb 27 Download 12 - Feb 27] Astronomical Sensemaking and Other "Natural" Categories
The universality of temporal concepts for "day," "month," "year," and "season" reflects their basis in natural astronomical events that have been systematically observed and recorded for well over ten thousand years. Likewise, all cultures impose patterns on stars, often associated with myths. Studying how these constellation-embodied myths evolve and disperse over time using techniques of evolutionary biologists creates "the tree of myths."
- Breasted, J. (1935). The beginnings of time-measurement and the origins of our calendar. The Scientific Monthly, 41(4), 289-304.
- d'Huy, J. (2016). The evolution of myths. Scientific American, 315(6), 62-69.
- Boxer, A. (2020) Selection from A Scheme of Heaven
ASSIGNMENT 9 : Tree Walk (due on 3/4)
[13- March 4 Download 13- March 4] Universal Cognition? Folk Biology; Linguistic Relativity; Bi-lingualism & Bi-culturalism
All human languages and cultures divide the physical and experiential “worlds” into categories; there are substantial similarities but interesting differences. Analyzing these differences makes us realize that language is much more a cultural construction than a biological one.
- Cultural Categories, Language and Thought, TDO v5 8.2.1
- Boraditsky, Lera. (2017) How Language Shapes the Way We Think. TED Talk
Links to an external site.
- Atran, S., and Medin, D. L., (2008). The Native Mind and the Cultural Construction of Nature. Chapter 1, Introduction.
- Driessnack, M. (2009). Children and Nature-Deficit Disorder. Journal of Specialist Pediatric Nursing, 14(1). Download Driessnack, M. (2009). Children and Nature-Deficit Disorder. Journal of Specialist Pediatric Nursing, 14(1).
- Christiansen. M., and Chater, N. (2022). 7000 natural experiments in cultural evolution, (selection from Chapter 7), The Language Game: How Improvisation Created Language and Changed the World. Download Christiansen. M., and Chater, N. (2022). 7000 natural experiments in cultural evolution, (selection from Chapter 7), The Language Game: How Improvisation Created Language and Changed the World.
ASSIGNMENT 10: Practice Exam (due on 3/7)
GROUP DISCUSSION 3: Study Group for Exam (3/7-10)
[14 -March 6 Download 14 -March 6] Social thinking and "Machine Culture"
How do the groups we explicitly or implicitly belong to influence how and what we think? When does social thinking create better decisions and outcomes? When does social thinking create worse decisions and outcomes?
"Machine culture" is the idea that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission, and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models.Intelligent machines are evolving as contributors in generating cultural traits–from game strategies and visual art to scientific results. How can we ensure a harmonious co-creation of culture where humans and machine augment, rather than eclipse, each other?
- Brinkmann, L., et. al. (2023). Machine culture. Nature Human Behaviour, 7(11), 1855-1868. Download Brinkmann, L., et. al. (2023). Machine culture. Nature Human Behaviour, 7(11), 1855-1868.
[15 - March 11] EXAM
Part 3: Sensemaking and Organizing As Individuals
[16 - March 13 Download 16 - March 13] "Automatic organizing" using perceptual processes, Gestalt principles, statistical learning
Physical resources are often organized according to intrinsic physical properties like size, color, or shape because the human visual system quickly and automatically pays a lot of attention to them. Likewise, because people have limited attentional capacity, we ignore a lot of the ongoing complexity of visual (and auditory) stimulation, making us perceive our sensory world as simpler than it really is. Infants have a remarkable ability to extract patterns in auditory and visual inputs so that they can learn their native language and cope with the complexity of their physical environments.
- Cameron, C. Exploring the Gestalt Principles of Design Links to an external site.
- Pearl, L. (2018). Acquisition of Language 2. Saffran et al 1996
Links to an external site.
- Chater, N., & Loewenstein, G. (2016). The under-appreciated drive for sense-making. Journal of Economic Behavior & Organization, 137-141 (sections 1 and 2)
- Saffran, Jenny R. (2020). Statistical Language Learning in Infancy. Child Development Perspectives 49-54.
[17 - March 18 Download 17 - March 18] Categories made by Individuals; Personal Possession Management; Personal Information Management
Individual categories are created to satisfy ad hoc requirements that emerge from an individual’s unique experiences, preferences, and resource collections. How people manage their personal possessions is a trendy topic and a lucrative consulting business, but some people have psychological disorders that prevent them from doing it well. How people organize their personal information has been extensively studied by researchers and designers. The Memex, proposed by Vannevar Bush almost 80 years ago, embodied many novel ideas about personal information management and is often viewed as the inspiration for personal computers and the web.
- Individual Categories, TDO v5 8.2.2 Download Individual Categories, TDO v5 8.2.2
- Silvestre, D. The Life-Changing Magic of Tidying Up by Marie Kondo: Summary and Lessons. Links to an external site.
- Matax-Cols, D. (2014). Hoarding Disorder, New England Journal of Medicine
- Bush, V. (1945). As We May Think. The Atlantic Monthly.
ASSIGNMENT 11: Analyzing the Hoarding "Disorganizing System" (due on 3/21)
[18 - March 20 Download 18 - March 20] Causality and Explanation
People have a cognitive bias to see order and purpose in the world. The vast majority of our decisions are influenced—at least in part—by our beliefs about the causal structure of the world. It is essential for survival to understand and predict the properties and behaviors of physical objects and substances (Physics), plants and animals (Biology), and other people (Psychology).
But what makes some sequences of events causal, so we make inferences about similar events, and other sequences non-causal? Causes are not deducible, and are not always explicitly visible in sensory input
- Kleinberg, S. (2015). WHY: A Guide to Finding and Using Causes. Chapter 1
- Banerjee, K., & Bloom, P. (2014). Why did this happen to me? Religious believers’ and non-believers’ teleological reasoning about life events. Cognition, 277-280 (section 1), 299-301 (General discussion)
- Thagard, P. (2012). The Cognitive Science of Science: Explanation, Discovery, and Conceptual Change. Chapter 13 Conceptual Change in the History of Science: Life, Mind, and Disease
ASSIGNMENT 12: Case Study Proposal (due on 3/29)
Part 4: Sensemaking and Organizing in Defined/Institutional Contexts
[19 - April 1 Download 19 - April 1] Institutional Categories, Classification, and Standards
Institutional categories are explicitly constructed semantic models of a domain to enable more control, robustness, and interoperability than is possible with just the cultural category system. They are essential in abstract, information-intensive domains where semantic precision is essential for processes and transactions (especially automated ones). They are usually developed via rigorous and formal processes and require ongoing governance and maintenance. Because classification and standardization are closely related, the lecture also analyzes standards and standards-making as they apply to Organizing Systems.
- Institutional Categories, TDO v5 8.2.3 Download Institutional Categories, TDO v5 8.2.3
- Classification: Assigning Resources To Categories - TDO v5 Chapter 9 Download Classification: Assigning Resources To Categories - TDO v5 Chapter 9
- Standardization {and, or, vs.} Specification - TDO v5 11.4.3 Download Standardization {and, or, vs.} Specification - TDO v5 11.4.3
[20 - April 3] Case Study Proposals
Brief presentations by students of their proposed case study.
Five more case studies were assigned to further develop the analysis and design skills needed to write a case study.
- Guide Dogs for the Blind (Cho 2016)
- Dolan, K. (2019). Organizing for Inebriation Case Study
- Zou, J. (2019) High-end Professional Kitchens (Chez Panisse Case Study)
- Shang, S. (2018) Chinese Medicine Cabinet Case Study
- Palmquist, A. (2021) Residential Life Management Case Study
GROUP DISCUSSION 4: Discuss Case Study Proposals (4/4-7))
[21 - April 8] Controlled Vocabularies, Business Interoperability
Sensemaking and organizing in institutional or business contexts depend on systematic and robust descriptions of resources, events, processes, and people. Controlled vocabularies and standard description schemas are essential in the operation of information-intensive and data-driven businesses.
- Forms of Resource Descriptions, TDO v5 6.4
- Glushko, R., and McGrath, T. (2005). Document Engineering
- Chapter 6, "When Models Don't Match: The Interoperability Challenge" (read section 6.0)
[22 - April 10] Document Engineering and Modeling
We will discuss techniques of Document Engineering for systematically identifying the content, structure, and presentation components in documents and datasets to enable the design of robust models for information-intensive domains. We will briefly contrast methods and formats for information models that differ in their semantic precision, maintainability, and ease of use.
- Glushko, R. (2005) Modeling Methods and Artifacts for Crossing the Data/Document Divide XML 2005 Conference Proceedings (read through section 4)
- Getting started with schema.org, sections 1 and 2 Links to an external site.
ASSIGNMENT 13: Document Engineering (part 1 due on 4/14; part 2 due on 4/16)
GROUP DISCUSSION 5: Analyze Assignment 13 (4/17-21)
[23 - April 15] Organizing and Interaction Design
Classifications arrange resources into categories. So every classification increases the capability and efficiency of interactions with resources that are “co-located” or “within-category” and makes “between-category” interactions less efficient. Choices about descriptions and organizing principles involve tradeoffs that determine which interactions are efficient, possible, difficult, or impossible.
Distributed cognition and external representations help people understand and interact effectively when faced with challenging cognitive and physical tasks.
- Designing Interactions, TDO v5 Chapter 10
- Classification by Activity Structure. TDO Section 9.4.4
Part 5: Sensemaking and Organizing with Data
[24- April 17] Organizing with Interaction Traces
Interactions with physical resources sometimes leave traces or other evidence. Many of these traces are unintentional, like fingerprints, a coffee cup stain on a newspaper, or the erosion on a shortcut path across a lawn. However, when Organizing Systems contain digital resources or physical resources that have sensing, recording, or communication capabilities, interaction traces can be made predictable, persistent, and consistent. Each record of a user choice in accessing, browsing, buying, highlighting, linking, and other interactions then becomes an “interaction resource” that can be analyzed to reorganize the resource collection or otherwise influence subsequent interactions with the primary resources
- Jarvis, D., Westcott, K., and Jones, D. (2021). The hyperquantified athlete, Technology, Media, and Telecommunications Predictions.
- DeCarbo, B. How Data is Changing the College Experience. Wall Street Journal, 19 August 2022. Download DeCarbo, B. How Data is Changing the College Experience. Wall Street Journal, 19 August 2022.
ASSIGNMENT 14: Document Types and Traces Diary (due 4/23)
[25 - April 22] Behavioral Economics
Choices about descriptions and organizing principles involve tradeoffs that determine which interactions are efficient, possible, difficult, or impossible.Organizing systems control the behavior of their users. The emerging field of applied behavioral economics explains how subtle differences in resource arrangement, the number and framing of choices, and default values can have substantial effects on the decisions people make.
- Johnson, Eric J., et al. (2012) "Beyond nudges: Tools of a choice architecture."Marketing Letters 23.2 (2012): 487-504.
- Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
- Morrison, S. (2021). Dark patterns, the tricks websites use to make you say yes, explained. https://www.vox.com/recode/22351108/dark-patterns-ui-web-design-privacy Links to an external site.
[26 - April 24] Computational Description
Categories are typically created computationally when a collection of resources or resource descriptions is too large for people to think about effectively. The simplest computational categories are the implicit ones created by descriptive statistics that identify typical or frequent and atypical or infrequent items
- Organizing with Descriptive Statistics, TDO 3.3.4 Download Organizing with Descriptive Statistics, TDO 3.3.4
- Computational categories, TDO 7.2.5
- Similarity TDO 7.3.6*
[ 27 - April 29] Computational Classification; Computation {and,or, vs.} Cognition
Some classification tasks are hard because the categories are “close together” and the resource properties or features involved are not easy to understand and use. Other classification tasks are conceptually simpler, but can't be done by people at the needed scale or speed.
In “data science,” a classifier is a system whose input is a vector of discrete or continuous feature (or attribute) values and whose output is the name of the class. This vector might be the description of a document, an image, a person, a molecule, just about anything
Computation {and,or, vs.} Cognition
[ 28 - May 1] Case Study Working Groups
You will meet in groups to present your analyses, artifacts, whatever -- and we'll scramble the groups twice so you get feedback from a lot of your classmates.
[ 29 – May 6] Case Study Presentations
May 9- case study reports due
Course Review
This will be a recorded lecture, no need to come to class. Watch the recording whenever it makes sense for you.
May 13 - final exam
Course Summary:
Date | Details | Due |
---|---|---|
Thu Jan 23, 2025 | Assignment A1 - Grandpa's Album Collection | due by 9:30am |
Thu Jan 30, 2025 | Assignment A2 - Analyzing Case Studies | due by 9:30am |
Tue Feb 4, 2025 | Assignment A3- Analyzing Activities in Organizing Systems | due by 9:30am |
Fri Feb 7, 2025 | Assignment Assignment 4 - Analyzing Your City | due by 12pm |
Wed Feb 12, 2025 | Assignment A5 - Dealing with Dwinelle | due by 11:59pm |
Thu Feb 20, 2025 | Assignment A6 - Social Graph Calculations | due by 9:30am |
Assignment
Academic Integrity Assignment (Spring 2025)
(Academic Integrity Assignment (Spring 2025))
|
due by 10:59pm | |
Assignment Academic Integrity Assignment (Spring 2025) | due by 10:59pm | |
Tue Feb 25, 2025 | Assignment A7 - Vehicle Taxonomy | due by 9:30am |
Thu Feb 27, 2025 | Assignment A8 - Astronomical Awareness | due by 9:30am |
Tue Mar 4, 2025 | Assignment A9 - Campus Tree Walk | due by 9:30am |
Thu Mar 6, 2025 | Assignment A10 - Practice Exam | due by 9:30am |
Thu Mar 20, 2025 | Assignment A11 Analyzing the Hoarding "Dis-Organizing System" | due by 9:30am |
Sat Mar 29, 2025 | Assignment A12 - Case Study Proposal | due by 12pm |
Quiz Midterm Exam March 11 | ||
Quiz Midterm Exam March 11 - DSP | ||
Quiz Practice Exam 1 |