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Mind and Reality

Mind and Reality


Course Status:Pre-College Registration: Jan 2026

Applications for Pre-College courses will open in early January. We encourage you to review the courses offered below. Remember: you can select up to 3 in your application. We look forward to seeing you!

Course Description

This course brings together the philosophy and the sciences of the mind to examine fundamental questions about our subjective experience of the world, ourselves, and others such as: What is consciousness? Do we all experience and represent the world in the same way? Can we know other minds? What is it like to be other animals? Can machines perceive, think, or feel?

The first half of the course challenges the naïve impression that our conscious experience of reality is a passive and accurate reflection of how the world is. By introducing a range of scientific phenomena such as visual illusions, false memories and cognitive biases, the lectures will engage students in analyzing how our experience of an external and internal reality is actively constructed by our minds. Besides lectures, we will do field trips to several museum exhibits to explore hands-on the complexity and error-proneness of our mental processes.

The second half of the course delves into ancient and contemporary philosophical thought on the nature of mental representation, self-consciousness, and knowledge of other minds. We will examine how fundamental questions about the nature of our minds can be addressed through philosophical analysis and thought experiments, but also in film, science-fiction, and visual arts.

Course Criteria

This course is open to high school students only.

Discussion Intensive
The majority of class time will be devoted to seminar-style learning.
Reading Intensive
Students should expect to read at least 30 pages per night.

Academic Interest

Examining Culture and Society, Humanities (e.g, arts, literature, philosophy)

Application Materials

A complete application includes a transcript, two short essays, a letter of recommendation, writing sample, application fee, and a submitted parent confirmation. If you are seeking need-based financial aid, you must indicate that in your application before it is submitted. Please refer to the Application Instructions for complete details.

Instructor(s)

Duygu Uygun Tunc

Course Duration

3 Week Immersion

Session

Session 2

Arrival & Departure Dates

July 5th - July 24th

Course Dates

July 7th - July 23rd

Class Days

Mon, Tue, Wed, Thu, Fri

Class Time

9:00 am - 3:00 pm

Eligibility

9th Grade, 10th Grade, 11th Grade

Course Code

PHIL 22910 30

Modality

Residential

Other Courses to Consider

These courses might also be of interest.

  • Understanding AI: AI Through a Technical, Socio-Ethical, and Career Development Lens
    Understanding AI: AI Through a Technical, Socio-Ethical, and Career Development Lens

    Generative AI, large language models (LLMs) -- these buzzwords have been popping up in newsrooms, classrooms, and dinner tables. This discussion-intensive, hands-on course provides students with a foundational understanding of AI through a technical, socio-ethical, and career development lens. No prior computing or AI experience is necessary to take this course. This class will give students the opportunity to:

    • Week 1: Understand topics like the training process behind LLMs and apply what they learned to design their own chatbot.

    • Week 2: Critically evaluate the impacts of LLMs on society and design a public-facing media piece that raises awareness about their impacts and responsible use.

    • Week 3: Assess how LLMs might change the future of jobs by using historical events to inform future predictions. Students will develop their own 5-year plans to think about the potential careers they are interested in pursuing and the corresponding skill sets required.

    Across the 3 weeks, researchers and industry professionals will visit the class to share their expertise and to help students understand how design choices, ethical considerations, and real-world motivations shape the development and impact of LLM systems.

    Residential