The weekly schedule articulate deviations from the schedule, seminar reading, and assignments due.
For stats and data mining, see the respective syllabi for reading assignments and when they are due!
See Project Page for project groups and day/time/place of your project affinity groups (or Project Team) meeting with faculty.
Monday: April 8
If you have not already turned in your signed student covenant or project proposal BRING hardcopy TO CLASS today!
1-3 First Seminar. 1-2 page reflection writing due – hardcopy in class and to the moodle. Be sure to explicitly state the question you are responding to. Seminar groups will be posted on the web site and/or on the doors of the seminar rooms!
You may write your own question, but you may also used this default question: The author (of Thinking in Systems) contrasts systems thinking with science, logic and reductionism (in Ch. 1, p 4 and elsewhere) . She goes on to claim that the methodologies presented in the book (essentially building and observing the dynamics of stock/flow models), while “not necessarily better” than reductionism allows us to “reclaim our intuition” in ways that could lead to better understanding of the natural world, and policy decisions (p. 6, for example). What evidence does she give for this cliam? How can a model, which is itself a formal system, lend itself to holistic thinking?
Be specific in your answer, drawing explicitly from the book.
Tuesday
9:30-12 – Stats Lab. Last week’s modeling lab due. Bring hard copy to lab if you haven’t already, and please print the model diagram from Stella.
1-3pm Project Meetings with faculty. Lab open for working on your projects, or finishing stats or Data Mining. Faculty will meet today with ALL project groups assigned to them:
| Time (Tuesday) | Richard LIB 3509* | Aaron LIB 3502* | Judy Lib 2605(AC Conference Room) |
| 1:00 | ML | Text, etc | Games I |
| 1:30 | Robotics | Android | Vis/Wireshark |
| 2:00 | Security | Games II | PLs and Data Structures |
| 2:30 | Group II (Brice, Kevin, Greg, Savanah) | U-box | Group 1 (Stephanie, Spencer, Kenneth Graham) |
| 3pm | |||
| 3:30 | 1ST Guest Lecture LH5 – Nik Stevenson-Molnar!!! | ||
*These rooms are located in the Library proper, their conference rooms, 3rd floor, almost directly above the ACC.
3:30 – Our first speaker! We won’t post these, just remember to go to LH 5 at 3:30!!!
7pm FYI: Science Cafe (see below)
Wednesday
no change from syllabus
Thursday
- 9:30-12 – Data Mining Lab – Turn in your lab report from today by midnight to fileshare (Workspace\\_DataMining\\Lab 2)
- 1-2:30 – For project meetings today, you will NOT be meeting with faculty. Instead, touch bases with your group (if you can find them!) and go over any problems that you might be having getting started. Help each other best you can!
- Faculty will come over to the Computer Center around 1:30 to see if you have questions.
- Lab open for working on your projects, or finishing stats or Data Mining.
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Other events of possible interest to CPaT students:
Olympia Science Café.
When: 7:00 pm, Tuesday, April 9, 2013
Where: Orca Books (509 East 4th Avenue, Olympia — Phone 360.352.0123)
Artificial Intelligence and Psychology: More Human than a Human?
Artificial Intelligence (AI) is a computer or machine that has been designed to “think” like a human. Advances in computing and information technology have ushered in a new era of AI development and application in everyday life. For example, AI can be found in smartphones, automobiles, customer service auto attendants, and even kitchen appliances. The purpose of this presentation is to provide an overview of AI with particular focus on its application in the field of psychology. Depictions of AI in science fiction film are used as examples of concepts. Emerging applications of AI within the mental healthcare field, such as virtual psychotherapists and training simulations, as well as clinical assessment, clinical decision making, and problem solving tools are presented. AI ethical and philosophical questions, such as what will happen when computers become more intelligent than humans, are also discussed.
Our speaker this month is David D. Luxton, Ph.D., Research Psychologist and Program Manager at the Research, Outcomes and Investigations, National Center for Telehealth and Technology; and also the Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine