From 204bebfdc42bf211c9d1ab2c358934448a1c2b93 Mon Sep 17 00:00:00 2001
From: Ryan <ryan@alien.gov>
Date: Thu, 15 Jun 2023 16:51:13 +0800
Subject: [PATCH] Auto saved by Logseq

---
 pages/总复习2023t1.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/pages/总复习2023t1.md b/pages/总复习2023t1.md
index 214c58b..740739a 100644
--- a/pages/总复习2023t1.md
+++ b/pages/总复习2023t1.md
@@ -2019,7 +2019,13 @@
 					- 整体步骤就是 :-> 1.确定目的 2.建立原型的近似水平，看是否有必要，或者要测试哪些方面 3.确定实验大纲 4.指定日期
 				- 好处
 					- Reduce uncertainty
-					-
+					- Make models with a defined purpose
+					- Consider multiple forms of prototypes
+					- Choose the timing of prototype cycles
+						- Many early models are used validate concepts
+						- Relatively few comprehensive models are necessary to test integration
+					- Plan time to learn from prototype cycles
+						- Avoid hardware swamp :-> where you keep building different ways out of a problem without stopping to think
 			- DONE Week4
 	- LATER 概率论 (隔了一个周末)
 	  collapsed:: true