It seems that having a genuine interest in a topic tends to expedite the knowledge acquisition process as well as the retention of this knowledge. I can only speak for myself, but I suspect the same goes for many others.
This has been another ongoing effort over the course of this experiment: to become fascinated in as many areas of human knowledge as possible, so as to maximize retention rate of information processed.
Gradually it became clear that a generic fascination, a fascination in any given topic, could be understood as latent, awaiting a certain inspiration, to be awakened. Once awakened, the absorption rate of discourse pertaining to that topic would seem to increase, as would the retention of this discourse.
Approaches to fostering fascination may vary, depending on one’s interests and mental characteristics. I’ve always liked diagrams, grand and intricate diagrams, so naturally MoGenPro ended up taking such a course.
Incidentally, the first three-week cycle has been completed:
The template of this first cycle was Topic 1 / Topic 2 / Digest 1 (T1T2D1), with the first topic being COMP (Computer Science), the second topic being MUSI (Music), and the first digest including RELI (Religion) and PHYS (Physics).
The grey X means that the day’s designated topic/subtopic was not covered. In the case of the middle three days, I was away from home.
Some days had more than one topic, as in 11/15, which had MATH and GPOL (Geopolitics).
Beyond the scheduling of a curriculum, my fascination with diagrams can be leveraged in other ways to optimize absorption and retention rate.
Here is an experimental concept graph, wherein the nodes represent concepts, colored according to topic, and the edges represent significant logical connections between concepts.
Not sure if this method is going to yield any interesting insights, but it may prove useful in associatively integrating extensive clusters of concepts, which may bolster my retention of them, just as nodes in a network theoretically become more integral as their connection count increases.
This may also be a feasible way of mapping out a pandiscplinary landscape of concepts, and to integrate them all into one diagram. In any case, it will suffice as an exercise under ARTS.DIA (Diagrammatic Art), which shows how a given subtopic can find practice in a way that complements MoGenPro most broadly.
Ideally, every subtopic would find its transcendent corner-case practice.
Lecture series completed so far:
[BIOL] Stanford Human Behavior Biology [Robert Sapolsky] (https://www.youtube.com/playlist?list=PL848F2368C90DDC3D)
[BIOL] MIT 7.016 Introductory Biology, Fall 2018 [Barbara Imperiali, Adam Martin](https://www.youtube.com/playlist?list=PLUl4u3cNGP63LmSVIVzy584-ZbjbJ-Y63)
[PSYC] 2017 Personality and Its Transformations (University of Toronto) [Jordan B. Peterson] (https://www.youtube.com/playlist?list=PL22J3VaeABQApSdW8X71Ihe34eKN6XhCi)
[ECON] MIT 15.S12 Blockchain and Money, Fall 2018 [Gary Gensler](https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn)
[COMP] Harvard CS50 2020 [David Malan] (https://www.youtube.com/playlist?list=PLhQjrBD2T382_R182iC2gNZI9HzWFMC_8)
[MUSI] Listening to Music (MUSI 112) [Yale; Craig Wright] (https://www.youtube.com/playlist?list=PLh9mgdi4rNezhx8YiGIV8I22ICSuzslja)
Lecture series underway:
[MATH] MIT 18.01 Single Variable Calculus, Fall 2006 [David Jerison](https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1)
[PHYS] 8.02x - MIT Physics II: Electricity and Magnetism [Walter Lewin](https://www.youtube.com/playlist?list=PLyQSN7X0ro2314mKyUiOILaOC2hk6Pc3j)
[ENGN] UC Irvine Engineering MAE 91. Intro to Thermodynamics [Roger Rangel](https://www.youtube.com/playlist?list=PLAp9izBvXkX8NLHv82dyb1DCJbDH2q0X1)
[CHEM] Chem 1A General Chemistry (Winter 2013) [Amanda Brindley](https://www.youtube.com/playlist?list=PLgFamYl9tu7oaOCbpphjPgCR3hBRiqK9G)
[NEUR] Coding and Vision 101 [Christof Koch and R. Clay Reid)(https://www.youtube.com/playlist?list=PLCEC78997E3E2DAB4)
[PSYC] UC Irvine Environmental Psychology [Daniel Stokols](https://www.youtube.com/playlist?list=PLA2E69FC89640C272)
[SOCI] NYU Introduction Sociology [Harvey Molotch](https://www.youtube.com/playlist?list=PL9F1D919FC1D446D6)
[COMP] Northwestern University, CS-340 Introduction to Computer Networking [Steve Tarzia) (https://www.youtube.com/playlist?list=PLWl7jvxH18r3nnotitKkyAjq268PQGc0-)