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That sounds great. I haven't finished the first week's material yet, but I'm planning to tackle it tomorrow, and I assume the difficulty/commitment is comparable to Game Theory 1. I'll message you both with contact info.
I'm still on the fence regarding Network Analysis (though I haven't started the work yet, so that may not longer be an option) and Discrete Optimization - I'd be curious to hear your thoughts on both. I'm currently finishing up Bioinformatics Algorithms I, which also had an extremely high workload, so I'm inclined to lean towards fewer total classes unless I've underestimated how relevant or engaging those particular courses are.
I didn't actually do Game Theory I on Coursera, but I've had a number of pretty thorough introductions to game theory, and I've touched on social choice theory as part of my degree. My intention with Game Theory II was to flesh that aspect out a bit more formally.
Likewise with the Network Analysis and Discrete Optimisation, I've had some pretty thorough introductions to graph theory, combinatorics, discrete mathematics, etc., but I'm keen to get a flavour for different applications. Also I like the practical aspect of Coursera courses. My discrete mathematics course was taught as a maths course rather than a computing course, so it was removed from a practical context. It'll be nice to actually code these things up rather than just talk about them in the abstract or work through them by hand.