Jennifer Kupcho struck a blow for gender equality and entered golf history books when she was crowned Augusta National Women's Amateur champion, hoisting the cup at a club that just seven years ago did not have a single woman member.

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Learning Walks. P.R.I.D.E. 03.19.14. What are Learning Walks?. Informal Non-evaluative For your learning! Focus on what is present !. “Our role is to cause learning, not merely mention things.” - Essential Questions p. 26. Purpose of Today’s Learning Walk:

LEARNING WALKS. How we can share good practice and learn from one another. NWL – Focus for our walks. What are we aiming to find out? How do students learn best What are we trying to measure/assess? What works generally for all. Expected Protocol.

JESUS WALKS!. Jeso Fela (Jesus alone) Ke yena fela (Him alone). MORATUWA WA PELO YA KA (Lover of my soul) O NTSAMAISA MAKGULO’NG MATALA (You walk me through green pastures). JESUS WALKS!. I NEVER THOUGHT I’D HEAR MYSELF SAY Y’ALL GO AHEAD I THINK I’M GONNA. “…KICK IT WITH THE LORD TODAY”.

3-1 FORM AND BASIC MEANING OF THE SIMPLE PRESENT TENSE. She walks. By Prof. G. Javier Burgos. 3-1 FORM AND BASIC MEANING OF THE SIMPLE PRESENT TENSE. SINGULAR PLURAL. we walk. I walk. 1 st PERSON. you walk. you walk. 2 nd PERSON. she walks he walks it walks.

Random Walks. Who’s This Man?. Burton Gordon Malkiel. American economist and writer. What is the idea behind random walk theory?. * Random walk also called drunkard’s walk is based on the premise that one takes a number of successive steps. * Each step is of equal length.

Random Walks. Random Walks on Graphs. -. Random Walks on Graphs. At any node, go to one of the neighbors of the node with equal probability. -. Random Walks on Graphs. At any node, go to one of the neighbors of the node with equal probability. -. Random Walks on Graphs.

Random Walks. An abstraction of student life. Eat. No new ideas. Hungry. Wait. 0.3. Work. 0.4. 0.99. 0.3. 0.01. probability. Work. Solve HW problem. Eat. No new ideas. Hungry. Wait. 0.3. Work. 0.4. 0.99. 0.3. 0.01. Work. Solve HW problem. Markov Decision Processes.

Random Walks. Random Walks on Graphs. -. Random Walks on Graphs. At any node, go to one of the neighbors of the node with equal probability. -. Random Walks on Graphs. At any node, go to one of the neighbors of the node with equal probability. -. Random Walks on Graphs.